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Search results for: SPOOFING DETECTION
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Looking through the past: better knowledge retention for generative replay in continual learning
PublicationIn this work, we improve the generative replay in a continual learning setting to perform well on challenging scenarios. Because of the growing complexity of continual learning tasks, it is becoming more popular, to apply the generative replay technique in the feature space instead of image space. Nevertheless, such an approach does not come without limitations. In particular, we notice the degradation of the continually trained...
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Selection of Electrode Material for Inconel 617/P92 Steel SMAW Dissimilar Welds
PublicationThe present work aimed to investigate the microstructure and mechanical properties of the dissimilar shielded metal arc welded (SMAW) joint of Alloy 617 and P92 steel for advanced ultrasupercritical boilers. The SMAW joint was produced using three different types of electrodes, namely, ENiCrFe-3, ENiCrMo-3, and ENiCrCoMo-1. During microstructural observation of the welded joints, no possible cracking was detected in the weldments....
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Detecting type of hearing loss with different AI classification methods: a performance review
PublicationHearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...
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A comparative analysis of methods and tools for low impact development (LID) site selection
PublicationThe site selection for Low Impact Development (LID) practices is a significant process. It affects the effectiveness of LID in controlling stormwater surface runoff, volume, flow rate, and infiltration. This research paper presents a comprehensive review of various methods used for LID site selection. It starts by introducing different methods and tools. Three main methods: index-based methods, GIS-based multi-criteria decision...
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Rapid Antenna Optimization with Restricted Sensitivity Updates by Automated Dominant Direction Identification
PublicationMeticulous tuning of geometry parameters turns pivotal in improving performance of antenna systems. It is more and more often realized using formal optimization methods, which is demonstrably the most efficient way of handling multiple design variables, objectives, and constraints. Although in some cases a need for launching global search arises, a typical design scenario only requires local optimization, especially when a decent...
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Human red blood cells targeted metabolome analysis of glycolysis cycle metabolites by capillary electrophoresis using an indirect photometric detection method
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Microbial acetylcholinesterase inhibitors for Alzheimer’s therapy: recent trends on extraction, detection, irradiation-assisted production improvement and nano-structured drug delivery
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Neoplasia detection in Macoma balthica (Bivalvia) from the Gulf of Gdansk (Baltic Sea, Poland) — comparison of flow cytometry, histology and chromosome analysis.
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Use of rapid immunochromatographic tests and PCR for the detection of vaccine viruses (CPV, CDV CAV) in faeces and conjunctival sac swabs of vaccinated dogs
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Biomolecular influenza virus detection based on the electrochemical impedance spectroscopy using the nanocrystalline boron-doped diamond electrodes with covalently bound antibodies
PublicationNew rapid pathogen detection methods with improved cost-effectiveness and efficiency are currently in the focus of the scientists from all over the world. Based on the experiences from the rapid spread of the influenza virus pandemic in 2009 it is clear that the development of the system for early diagnosis of this infection is essential. The crucial stage of the treatment is the detection of the viral infection during its initial...
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Modeling of medium flow processes in transportation pipelines - the synthesis of their state-space models and the analysis of the mathematical properties of the models for leak detection purposes
PublicationThe dissertation concerns the issue of modeling the pipeline flow process under incompressible and isothermal conditions, with a target application to the leak detection and isolation systems. First, an introduction to the model-based process diagnostics is provided, where its basic terminology, tools, and methods are described. In the following chapter, a review of the state of the art in the field of leak detection and isolation...
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Detection and Imaging of Debonding in Adhesive Joints of Concrete Beams Strengthened with Steel Plates Using Guided Waves and Weighted Root Mean Square
PublicationStrengthening of engineering structures is an important issue, especially for elements subjected to variable loads. In the case of concrete beams or slabs, one of the most popular approaches assumes mounting an external reinforcement in the form of steel or composite elements by structural adhesives. A significant disadvantage of adhesive joints is the lack of access to the adhesive film for visual condition assessment, thus, there...
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Boron-doped carbon nanowalls for fast and direct detection of cytochrome C and ricin by matrix-free laser desorption/ionization mass spectrometry
PublicationDetecting proteins via surface assisted laser desorption/ionization mass spectrometry (SALDI-MS) method is still highly challenging, and only few examples of nanomaterials have been demonstrated to perform such detection so far. In this study, carbon nanowalls (CNWs), vertically aligned graphene sheet-based materials, presenting specific morphology, dimensions, and boron doping levels have shown improved performances for both qualitative...
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Improvement of derivatized amino acid detection sensitivity in micellar electrokinetic capillary chromatography by means of acid-induced pH-mediated stacking technique
PublicationDerivatization is a frequently used sample prepara-tion procedure applicable to the enhancement of analyte de-tection sensitivity. Amino acids mostly require derivatization prior to electrophoretic or chromatographic analysis, especial-ly if spectrophotometric detection is used. This study presents an on-line preconcentration technique for derivatized amino acids. The sensitivity of the method was improved by the utilization of...
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Determination of polybrominated diphenyl ethers in house dust using standard addition method and gas chromatography with electron capture and mass spectrometric detection
PublicationMonitoring of the environmental fate of polybrominated diphenyl ethers (PBDEs) involves determination of their concentration in air, airborne particles and settled dust. This requires the implementation of appropriate analytical tools like measuring instruments, reference materials and analytical procedures. In this study an analytical procedure was developed for determining PBDEs in samples with a complex matrix composition. The...
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Carbon nanowalls: A new versatile graphene based interface for laser desorption/ionization-mass spectrometry detection of small compounds in real samples.
PublicationCarbon nanowalls, vertically aligned graphene nanosheets, attract attention owing to their tunable band-gap, high conductivity, high mechanical robustness, high optical absorbance and other remarkable properties. In this paper, we report for the first time, the use of hydrophobic boron-doped carbon nanowalls (CNWs) for laser desorption/ionization of small compounds and their subsequent detection by mass spectrometry (LDI-MS). The...
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Flexible Knowledge–Vision–Integration Platform for Personal Protective Equipment Detection and Classification Using Hierarchical Convolutional Neural Networks and Active Leaning
PublicationThis work is part of an effort to develop of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. The paper focuses on hazards resulted from the non-use of personal protective equipment (PPE). The objective is to test the capability of the platform to adapt to different industrial environments by simulating the process of randomly selecting...
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Formaldehyde detection with chemical gas sensors based on WO3 nanowires decorated with metal nanoparticles under dark conditions and UV light irradiation
PublicationWe report results of formaldehyde gas (CH2O) detection under dark conditions and UV light irradiation with pristine tungsten trioxide nanowires (WO3 NWs) and metal nanoparticles decorated WO3 NWs gas sensing layers. The resistive layers were deposited by one step aerosol assisted chemical vapor deposition (AACVD) on commercial alumina substrates with 10-pair interdigitated platinum electrodes. The elaborated gas sensors, based...
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Electrochemical detection of bacterial endotoxin lipopolysaccharide (LPS) on gold electrode modified with DAL-PEG-DK5-PEG-OH - Antimicrobial peptide conjugate
PublicationThis work describes fabrication of gold electrodes modified with peptide conjugate DAL-PEG-DK5-PEG-OH that enables ultra-sensitive detection of lipopolysaccharide (LPS) isolated from the reference strain of Escherichia coli O26:B6. The initial step of the established procedure implies immobilization of the fully protected DAL-PEG-DK5-PEG-OH peptide on the surface of the gold electrode previously modified by cysteamine. Then side...
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Detekcja uszkodzeń w kratownicy kompozytowej z zastosowaniem fal giętno-scinających.Damage detection in composite truss by application coupled flexural - shearwaves.
PublicationW pracy przedstawiono zastosowanie fal spręzystych do detekcji peknięć w kratownicy kompozytowej.
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Texture or Linker? Competitive Patterning of Receptor Assembly toward Ultra-Sensitive Impedimetric Detection of Viral Species at Gold-Nanotextured Titanium Surfaces
PublicationIn this work, we study the electrodes with a periodic matrix of gold particles pattered by titanium dimples and modified by 3-mercaptopropionic acid (MPA) followed by CD147 receptor grafting for specific impedimetric detection of SARS-CoV-2 viral spike proteins. The synergistic DFT and MM/MD modeling revealed that MPA adsorption geometries on the Au–Ti surface have preferential and stronger binding patterns through the carboxyl...
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Determination of pterins in urine by HPLC with UV and fluorescent detection using different types of chromatographic stationary phases (HILIC, RP C8, RP C18)
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Toxoplasma gondii: Enzyme-Linked Immunosorbent Assay using different fragments of recombinant microneme protein 1 (MIC1) for detection of immunoglobulin G antibodies
PublicationTrzy rekombinantowe fragmenty białka antygenowego MIC1 Toxoplasma gondii (r-MIC1ex2, r-MIC1ex34 i r-MIC1) zostały wyprodukowane jako białka fuzyjne (zawierające dwie domeny oligohistydynowe na N- i C-końcu) w komórkach bakteryjnych Escherichia coli. Homogenne preparaty antygenów rekombinantowych otrzymane z zastosowaniem jednoetapowego oczyszczania metodą chromatografii metalopowinowactwa, wykorzystano następnie do immunoidentyfikacji...
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Detection ofHelicobacterspecies in liver and stomach tissues of patients with chronic liver diseases using polymerase chain reaction-denaturing gradient gel electrophoresis and immunohistochemistry
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Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium - application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data
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Highly Specific Substrates of Proteinase 3 Containing 3-(2-Benzoxazol-5-yl)-l-alanine and Their Application for Detection of This Enzyme in Human Serum
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MICROSEISMIC EVENT DETECTION USING DIFFERENT ALGORITHMS ON REAL DATA FROM PATCH ARRAY GEOPHONE GRID FROM EASTERN POMERANIA FRACTURING JOB
PublicationThe microseismic monitoring is a method of monitoring of fracture propagation during hydraulic fracturing process. Hydraulic fracturing is a method of reservoir stimulation used especially for unconventional gas recovery. A matrix of several thousand geophones is placed on the surface of earth to record every little tremor of ground induced by fracturing process. Afterwards, the signal is analysed and the place of tremor occurrence...
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Damage detection in 3D printed plates using ultrasonic wave propagation supported with weighted root mean square calculation and wavefield curvature imaging
Publication3D printing (additive manufacturing, AM) is a promising approach to producing light and strong structures with many successful applications, e.g., in dentistry and orthopaedics. Many types of filaments differing in mechanical properties can be used to produce 3D printed structures, including polymers, metals or ceramics. Due to the simplicity of the manufacturing process, biodegradable polymers are widely used, e.g., polylactide (polylactide...
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Determination of organotin compounds in biological samples using accelerated solvent extraction, sodium tetraethylborate ethylation, and multicapillary gas chromatography flame photometric detection.
PublicationPrzedstawiono metodę oznaczania związków cynoorganicznych w próbkach biologicznych. Procedura oparta jest na wykorzystaniu ekstrakcji pod zwiększoną temperaturą i ciśnieniem (ASE) do izolacji związków cynoorganicznych z próbek wątroby morświnów odłowionych w Morzu Bałtyckim. Walidacji metody dokonano na podstawie analizy materiału odniesienia NIES No 11.
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Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
PublicationThis work deals with automatically detecting stuttering and its subclasses. An effective classification of stuttering along with its subclasses could find wide application in determining the severity of stuttering by speech therapists, preliminary patient diagnosis, and enabling communication with the previously mentioned voice assistants. The first part of this work provides an overview of examples of classical and deep learning...
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Determination of Urinary Pterins by Capillary Electrophoresis Coupled with LED-Induced Fluorescence Detector
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Nuclear retention of pre-mRNA involving Cajal bodies during meiotic prophase in plants
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Utility of an unitary-shredding method to evaluate the conditions and selection of constructional features during grinding
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Morbidity, Mortality and Survival after Stomach Resection with or without Splenectomy – The Single Centre Observations
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Selection and Setting of an Intelligent Fuzzy Regulator based on Nonlinear Model Simulations of a Helicopter in Hover
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Distal pancreatic resection via laparo-endoscopic single site surgery – development of the technique
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Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection
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Application of Bayesian Multilevel Modeling in the Quantitative Structure–Retention Relationship Studies of Heterogeneous Compounds
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Prediction of Peptide Retention at Different HPLC Conditions from Multiple Linear Regression Models
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Quantitative structure–retention relationships of ionic liquid cations in characterization of stationary phases for HPLC
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A JEE-based modelling and execution environment for workflow applications with just-in-time service selection
PublicationArtykuł prezentuje model scenariusza z dynamicznym wyborem usług do wykonania zadań scenariusza. Adekwatność rozwiązania została zaprezentowana dla zastosowań naukowych i biznesowych w warunkach kiedy dostępność usług się zmienia i usługi powinny być wybierane w trakcie działania scenariusza a nie przed jego rozpoczęciem. Pokazano, że dla scenariusza naukowego z powtarzalnymi symulacjami, algorytm dobiera usługi, aby zminimalizować...
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Global variation in anastomosis and end colostomy formation following left‐sided colorectal resection
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Universal observable detecting all two-qubit entanglement and determinant-based separability tests
PublicationW pracy zbadano możliwość konstrukcji uniwersalnej obserwabli, którejwartość średnia na pewnej ilości kopii danego stanu kwantowegorozstrzygałaby jednoznacznie i niezależnie od badanego stany czy jest on splątany. Pokazano, że w przypadku dwukubitowych stanów kwantowych konstrukcja takiej obserwabli jest możliwa oraz ilość kopii potrzebna do zmierzenia jej wartości średniej jest równa cztery. Ponadto, zbadano czy wartość średnia...
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MicroRNA expression profile analysis in human skeletal muscle tissue: Selection of critical reference
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Materials Selection and Design Options Analysis for a Centrifugal Fan Impeller in a Horizontal Conveyor Dryer
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Accelerated Monte Carlo method for computation of photon migration by matrix description of photon direction
PublicationPrzedstawiono metodę obliczeń dyfuzji fotonów w materiałach silnie rozpraszających, będącą modyfikacją metody Monte Carlo. Modyfikacja ta polega na zastąpieniu wektorowego opisu kierunku propagacji fotonów poprzez opis macierzowy, co pozwala na około 5% redukcję czasu obliczeń na komputerach z jednopotokowym przetwarzaniem zmiennopozycyjnym lub większą w wypadku wielopotokowego przetwarzania.
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Contribution of Strength, Speed and Power Characteristics to Change of Direction Performance in Male Basketball Players
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The Effect of the Selection of Three-Dimensional Random Numerical Soil Models on Strip Foundation Settlements
PublicationThis paper delivers a probabilistic attempt to prove that the selection of a random three-dimensional finite element (FE) model of a subsoil affects the computed settlements. Parametricanalysis of a random soil block is conducted, assuming a variable subsoil Young’s modulus inparticular finite elements. The modulus is represented by a random field or different-sized setsof random variables; in both cases, the same truncated...
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Selection of an artificial pre-training neural network for the classification of inland vessels based on their images
PublicationArtificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...
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Process layout planning and optimised product range selection in manufacture of wooden construction sets
PublicationThis paper introduces a systematic deterministic framework for planning and the analysis of facility layouts aimed at manufacturing a variety of parts, as components of specific end products. The essence of the proposed approach lies in the decomposition of a traditional job-shop into layout modules of generic material flow patterns, that inherently yields improved efficiency of the entire system. It entails the use of a relevant...