Search results for: CBRN DEFENCE TACTICAL TRAINING - Bridge of Knowledge

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Search results for: CBRN DEFENCE TACTICAL TRAINING

Search results for: CBRN DEFENCE TACTICAL TRAINING

  • Model zaangażowania w relacji usługodawca-klient

    Publication

    - Year 2020

    W niniejszej monografii przedstawiono rozwiązania pozwalające lepiej zrozumieć złożoność relacji występujących pomiędzy usługodawcami a klientami oraz metody, które pozwalają tę wiedzę wykorzystać w doskonaleniu procesów organizacji usługowych. Monografia podejmuje problem kształtowania zaangażowania na styku usługodawca–klient jako wstępnego i koniecznego warunku rozwijania relacji w usługach. Opierając się na klasycznej drabinie...

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  • Application of Electrochemical Impedance Spectroscopy to evaluate cathodically protected coated steel in seawater

    Two types of organic coated carbon steel (S235JR2 grade) electrodes were exposed to artificial seawater environment. One prepared type was defect free while the other one had an intentionally introduced φ0,5 cm coating defect. Both kinds of samples were polarized during the exposure to four potentials corresponding to four different cathodic protection levels. Evolution of their EIS spectra is presented in this paper. Results obtained...

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  • Bias-Dependent Dynamics of Degradation and Recovery in Perovskite Solar Cells

    Publication
    • M. Prete
    • M. V. Khenkin
    • D. Głowienka
    • B. R. Patil
    • J. S. Lissau
    • I. Dogan
    • J. Hansen
    • T. Leißner
    • J. Fiutowski
    • H. Rubahn... and 6 others

    - ACS Applied Energy Materials - Year 2021

    Degradation of perovskite solar cells (PSCs) is often found to be partially or fully reversible when the cells are allowed to recover in the dark. Unlike the dynamics of degradation, knowledge about the dynamics of PSC cell recovery is very limited. Here, we demonstrate that the PSC recovery strongly depends on the electrical bias conditions during the light-induced degradation and that it can be manipulated by applying an external...

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  • Myrosinase activity in different plant samples; optimisation of measurement conditions for spectrophotometric and pH-stat methods

    Myrosinase found in Brassicaceae plants, is the enzyme responsible for hydrolysis of glucosinolates. As a result a variety of biologically active metabolites are liberated, whose importance in crop protection and especially in cancer chemoprevention is rapidly gaining recognition. The growing practical application of glucosinolate degradation products requires that sensitive and reliable methods of myrosinase activity determination...

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  • Francesco Fedele M.D.

    People

    Francesco Fedele is a Medical Resident in Obstetrics and Gynaecology at San Raffaele Hospital in Milan, Italy. Previously, he held the same position at Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico in Milan. He received his surgical training at Azienda Ospedaliera Universitaria Integrata in Verona, Italy from 2022 to 2024.He graduated with honors from the 6-year International MD Program Degree in Medicine and Surgery...

  • Wprowadzenie do analiz egzergetycznych, PG_00059783

    e-Learning Courses
    • P. Ziółkowski

    The aim of the course is to present the basic issues to carry out the balance of exergy and entropy in addition to the balance of mass and energy. To show the definition of the maximum work that a certain matter can do in a thermodynamic process when transitioning to equilibrium with its surroundings.  To refer to chemical exergy and show the application of the exergy balance to define losses in a thermodynamic cycle.

  • A Time Delay Controller Included Terminal Sliding Mode and Fuzzy Gain Tuning for Underwater Vehicle-Manipulator Systems

    Publication

    An improved Time Delay Control (TDC) method for an Underwater Vehicle-Manipulator System (UVMS) is proposed. The proposed controller consists of three terms: a time-delay-estimation term that cancels nonlinearities of the UVMS dynamics, a Terminal Sliding Mode (TSM) term that provides a fast response and a PID term that reduces the tracking error. In addition the proposed controller uses fuzzy rules to adaptively tune the gains...

  • An extension to the FEEDB Multimodal Database of Facial Expressions and Emotions

    Publication
    • M. Szwoch
    • L. Marco-gimenez
    • M. Arevalillo-herráez
    • A. Ayesh

    - Year 2015

    FEEDB is a multimodal database that contains recordings of people expressing different emotions, captured by using a Microsoft Kinect sensor. Data were originally provided in the device’s proprietary format (XED), requiring both the Microsoft Kinect Studio application and a Kinect sensor attached to the system to use the files. In this paper, we present an extension of the database. For a selection of recordings, we also provide...

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  • Modern trends in solid phase extraction: New sorbent media

    Based on the recently published literature, this review provides an update of the most important features and application of formats and devices employed in solid phase extraction (SPE). Special attention was paid on new trapping media proposed in SPE prior the chromatography analysis, based on the use of nanostructured materials, including carbon nanomaterials, electrospun nanofibers, dendrimes and magnetic nanoparticles, molecular...

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  • Marek Biziuk prof. dr hab. inż.

    People

    CURRICULUM VITAE Marek BIZIUK  Born                                        1947 MSc                                         1969 GUT PhD                                         1977 GUT DSc                                         1994 GUT Professor                                 2001   Membership of scientific society - Gdansk Scientific Society - Romanian Society of Analytical Chemistry - Engineers and Techniques of...

  • Pressure pulsations in turbine blade seal clearance

    The paper presents the results of numerical and experimental investigations into pressure forces generated in a turbine labyrinth seal. The experiments were performed on a single-stage air model turbine of the impulse type, while the numerical results were obtained by means of CFD Fluent Code. The performed experimental research and numerical calculations prove that in a shroud clearance the pressure pulsates and the effects of...

  • Sławomir Ostrowski dr inż.

    Sławomir Ostrowski is a research and didactic employee employed as an Assistant Professor in the Department of Informatics in Management at the Faculty of Management and Economics of the Gdańsk University of Technology. In 2018, he obtained a PhD in economic sciences in the discipline of management science. A graduate of uniform Master's-engineering studies in Management (specialization: IT Technology Management) at the Faculty...

  • LRIT - a novel system of vessels monitoring for maritime security and safety

    Publication

    - Year 2006

    W artykule przedstawiono propozycję architektury przyszłego, globalnego systemu monitorowania statków LRIT (Long Range ship's Identification and Tracking) podlegających konwencji SOLAS. Przedstawiono i scharakteryzowano poszczególne komponenty systemu ze szczególnym uwzględnieniem aspektów radiokomunikacyjnych.

  • Transport of Particles in Intestinal Mucus under Simulated Infant and Adult Physiological Conditions: Impact of Mucus Structure and Extracellular DNA

    Publication

    - PLOS ONE - Year 2014

    The final boundary between digested food and the cells that take up nutrients in the small intestine is a protective layer of mucus. In this work, the microstructural organization and permeability of the intestinal mucus have been determined under conditions simulating those of infant and adult human small intestines. As a model, we used the mucus from the proximal (jejunal) small intestines of piglets and adult pigs. Confocal...

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  • Comparison between measured and calculated underwater pressure of merchant ship

    Publication

    - HYDROACOUSTICS - Year 2016

    From 2012 The Polish Naval Academy take part in an international research project SIRAMIS, carried out in the framework of the European Defence Agency. The objective of this project is to improve the understanding of ship signature interaction with multi influence sensors in relevant and realistic scenario's. This paper describes selected results of the comparison results of sea trials and model calculations of the hydrodynamic...

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  • The luminescence study ofNaK2Li[Li3SiO4]4:Eu coumpounds.

    Open Research Data

    Narrowband green phosphors with high quantum efficiency are required for backlighting white light-emitting diode (WLED) devices. Materials from the A[Li3SiO4]4:Eu2+ family have recently been proposed as having superior properties to industry-standard β-SiAlON green phosphors. Here, we show that a cheap, easily synthesized host NaK2Li[Li3SiO4]4 (NKLLSO)...

  • Pedestrian safety management using the risk-based approach

    The paper presents a concept of a multi-level pedestrian safety management system. Three management levels are distinguished: strategic, tactical and operational. The basis for the proposed approach to pedestrian safety management is a risk-based method. In the approach the elements of behavioural and systemic theories were used, allowing for the development of a formalised and repeatable procedure integrating the phases of risk...

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  • Influence of pore formers on electrical properties of CaTi0.9Fe0.1O3-δ perovskite-type ceramics

    Publication

    Porous CaTi0.9Fe0.1O3-δ (CTF) perovskites were synthesized by the standard solid state method at different sintering temperatures with carbon black (CB), corn starch (CS) and potato starch (PS) as pore-forming agents. The ceramic samples of porosity between 9% and 42% with 5 - 40 μm pore sizes, were obtained by a 6 h sintering at either 1130º C or 1200º C of precursor powder prepared at 1470º C. X-ray diffraction analysis proved...

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  • Spotkanie informacyjne dla kandydatów do Szkoły Doktorskiej

    Events

    29-06-2021 11:00 - 29-06-2021 13:00

    W dniu 29 czerwca, o godz. 11:00 (UTC+2) , odbędzie się spotkanie informacyjne dla kandydatów, dotyczące rekrutacji do Szkoły Doktorskiej PG na r.a. 2021/2022. Dostęp na hasło: PhD

  • Arsalan Muhammad Soomar Doctoral Student

    People

    Hi, I'm Arsalan Muhammad Soomar, an Electrical Engineer. I received my Master's and Bachelor's Degree in the field of Electrical Engineering from Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.  Currently enrolled as a Doctoral student at the Gdansk University of Technology, Gdansk, Poland. Also worked in Yellowlite. INC, Ohio  as a Solar Design Engineer.   HEADLINE Currently Enrolled as a Doctoral...

  • THE ONLINE APPLICATION AND E-LEARNING IN THE COMPETENCE-BASED MANAGEMENT IN PUBLIC ADMINISTRATION ORGANIZATIONS

    Publication

    - Year 2014

    The integration of effective management of work-related processes and utilization of human resources potential leads to the development of organization. The purpose of this paper was to examine how the principles of competences-based management can be introduced to enhance organization’s effectiveness in human resources management. A model of assessment and development of competences-based management, embracing an online application...

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  • Uniform sampling in constrained domains for low-cost surrogate modeling of antenna input characteristics

    In this letter, a design of experiments technique that permits uniform sampling in constrained domains is proposed. The discussed method is applied to generate training data for construction of fast replacement models (surrogates) of antenna input characteristics. The modeling process is design-oriented with the surrogate domain spanned by a set of reference designs optimized with respect to the performance figures and/or operating...

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  • A survey of neural networks usage for intrusion detection systems

    In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commer‐ cial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested...

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  • Raman spectra of PCMCA-X (potassium citrate derived porous carbon materials obtained at various temperatures of carbonization)

    Open Research Data
    open access

    These data contain Raman spectra of PCMCA-700 (potassium citrate derived porous carbon materials obtained at 700°C ), PCMCA-800 (potassium citrate derived porous carbon materials obtained at 800°C ), PCMCA-900 (potassium citrate derived porous carbon materials obtained at 900°C ). The D peak at 1340 cm−1 and the G peak at 1592 cm−1 can be seen in all...

  • Income tax rates for special activities in Czech Republic

    Open Research Data
    open access

    The standard corporate income tax rate is 19%. Since 2015, the tax rates for special activities have changed as follows: the tax rate for pension funds is 0% (with some exemption); The tax regulations define a new so-called "Basic investment fund" and only that particular fund can benefit from the lower tax rate of 5%. Other mutual funds that do not...

  • Piotr Krajewski dr

    Piotr Krajewski is a librarian at the Library of Gdańsk University of Technology (GUT) and a PhD student at the Medical University of Gdańsk. His research interests focus on the standardization of the e-resources usage data and Open Access publishing, especially the role of institutional repositories in the development of the OA initiative and the phenomenon of “predatory publishers”. He works at Scientific and Technical Information...

  • Efekty egoistycznych ataków na poziomie mac w sieciach ad hoc o topologii wieloskokowej

    Stacje sieci ad hoc mogą manipulować parametrami dostępu do medium transmisyjnego dla osiągnięcia nienależnie wysokiej jakości usług. Dla środowiska sieci ad hoc o topologii wieloskokowej rozważane są ataki na mechanizmy odłożenia transmisji i klasyfikacji ruchu, przeprowadzane zarówno w stosunku do przepływów źródłowych jak i tranzytowych. Wyniki pozwalają wstępnie ocenić efekty takich ataków oraz skuteczność mechanizmów obronnych.

  • A New Approach to Assess Quality of Motion in Functional Task of Upper Limb in Duchenne Muscular Dystrophy

    Publication

    - Applied Sciences-Basel - Year 2022

    (1) Background: This study presents a new method for the motion quantitative analysis of Duchenne muscular dystrophy patients (DMD) performing functional tasks in clinical conditions. (2) Methods: An experimental study was designed to define how different levels of external mass (light and heavy) influence the performance of the upper limbs of a tested DMD and reference subject (RS) during horizontal movements (level of the waist)...

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  • Analiza danych typu Big Data 2022/23

    e-Learning Courses
    • P. Weichbroth
    • W. Waloszek

    The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

  • Analiza danych typu Big Data 2023/24 KOPIA

    e-Learning Courses
    • W. Waloszek

    The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

  • English for Engineering Mechanics

    e-Learning Courses
    • M. Skowronek

    The activity of structural mechanics students' community FOREVER YOUNG aimed at improving practical skills in technical English

  • Cost-Efficient Two-Level Modeling of Microwave Passives Using Feature-Based Surrogates and Domain Confinement

    Publication

    A variety of surrogate modelling techniques has been utilized in high-frequency design over the last two decades. Yet, the curse of dimensionality still poses a serious challenge in setting up re-liable design-ready surrogates of modern microwave components. The difficulty of the model-ing task is only aggravated by nonlinearity of circuit responses. Consequently, constructing a practically usable surrogate model, valid across...

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  • Data librarian and data steward – new tasks and responsibilities of academic libraries in the context of Open Research Data implementation in Poland

    Publication

    Thesis/Objective – The policy of Open Access (OA) for researching resources in Europe has been implemented for more than 10 years. The first recommendations concerning providing OA to scientific materials were defined during the implementation of the 7th Framework Programme. Introducing another set of recommendations concerning OA to research data was the next stage. The recommendations were transformed into obligations under the...

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  • Composition Patterns of Contemporary Polish Residential Building Facades

    This study aims to define the types of composition patterns of contemporary Polish multi-family building facades. The authors define the compositional patterns to determine their frequency. Analyses carried out on the basis of photos and visualizations of 113 examples of architecture from Poland identified groups of common features of facades. Statistical analyses of these features resulted in six types of compositions. Clear differences...

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  • Financial Analysis exercises - New (copy)

    e-Learning Courses
    • K. Kubiszewska

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • Financial Analysis exercises - New

    e-Learning Courses
    • P. Figura

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • Generalized adaptive notch smoothers for real-valued signals and systems

    Systems with quasi-periodically varying coefficients can be tracked using the algorithms known as generalized adaptive notch filters (GANFs). GANF algorithms can be considered an extension, to the system case, of classical adaptive notch filters (ANFs). We show that estimation accuracy of the existing algorithms, as well as their robustness to the choice of design parameters, can be considerably improved by means of compensating...

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  • Using wearable device for biomedical signal acquisition and processing

    Publication

    In this paper we present the research conducted on synchronous measurements of biosignals. The experiment was conducted to evaluate the possibility of estimating vital signs based on eye tracking. Method: The eGlasses platform was used for acquisition of ECG, respiration rate, eye and pupil movement and blood pressure. Data were acquired in three 5 min. intervals during which a subject was performing certain tasks. The signals...

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  • Detection of vehicles stopping in restricted zones in video from surveillance cameras

    Publication

    - Year 2014

    An algorithm for detection of vehicles that stop in restricted areas, e.g. excluded by traffic rules, is proposed. Classic approaches based on object tracking are inefficient in high traffic scenes because of tracking errors caused by frequent object merging and splitting. The proposed algorithm uses the background subtraction results for detection of moving objects, then pixels belonging to moving objects are tested for stability....

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  • The Impact of Covid-19 on the Performance of Exchange Traded Funds on Developed and Emerging Markets

    Publication

    - Year 2021

    In this paper an endeavour was made to evaluate the impact of Covid-19 on the achievement of the investment objectives by selected ETFs in developed and emerging markets. For this purpose, the tracking errors calculated for 18 different ETFs operating on the basis of American, Asian and European stock indexes were analyzed. The time range of the research was selected in such a way as to compare the period before the pandemic(pre-Covid)...

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  • Neural network model of ship magnetic signature for different measurement depths

    Publication

    This paper presents the development of a model of a corvette-type ship’s magnetic signature using an artificial neural network (ANN). The capabilities of ANNs to learn complex relationships between the vessel’s characteristics and the magnetic field at different depths are proposed as an alternative to a multi-dipole model. A training dataset, consisting of signatures prepared in finite element method (FEM) environment Simulia...

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  • A Bayesian regularization-backpropagation neural network model for peeling computations

    Publication
    • S. Gouravaraju
    • J. Narayan
    • R. Sauer
    • S. S. Gautam

    - JOURNAL OF ADHESION - Year 2023

    A Bayesian regularization-backpropagation neural network (BRBPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. K-fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network...

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  • Bridge Ergonomic Design: A Review

    Human error remains the most common cause of marine incidents and it is worth emphasizing that navigator’s performance is directly affected by ergonomic factors on the bridge. Studies regarding influence of bridge design and work environment on the operator are rare, thus the main purpose of this paper is to fill in this gap. Documents issued by recognized organizations, research publications and additional sources were reviewed...

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  • The evolution of education spaces - from plan as generator to regenerative architecture, virtual rooms and green campuses

    The study programmes are often considered the main formative factors in the process of educating future architects. Another highly influential component is the architectural characteristics of learning spaces, and consequently the impact of the physical built environment on the quality of education has been widely discussed. However, not often do we realise that the characteristics of education spaces correlate with the organisational...

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  • Breast MRI segmentation by deep learning: key gaps and challenges

    Publication

    Breast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...

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  • Neural networks and deep learning

    Publication

    - Year 2022

    In this chapter we will provide the general and fundamental background related to Neural Networks and Deep Learning techniques. Specifically, we divide the fundamentals of deep learning in three parts, the first one introduces Deep Feed Forward Networks and the main training algorithms in the context of optimization. The second part covers Convolutional Neural Networks (CNN) and discusses their main advantages and shortcomings...

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  • Human-computer interaction approach applied to the multimedia system of polysensory integration

    Publication

    - Year 2009

    In the paper an approach of utilizing an interaction between the human and computer in a therapy of dyslexia and other sensory disorders is presented. Bakker's neuropsychological concept of dyslexia along with therapy methods are reviewed in the context of the Multimedia System of Polysensory Integration, proposed at the Multimedia Systems Department of Gdansk Univ. of Technology. The system is presented along with the training...

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  • Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing

    Artykuł prezentuje automatyczny system wykrywania pogorszenia zdrowia pacjentów z chorobą Parkinsona opracowany w ramach projektu PERFORM.The paper presents how rule-based processing can be applied to automatically evaluate the motor state of Parkinson's Disease patients. Automatic monitoring of patients by using biometric sensors can provide assessment of the Parkinson's Disease symptoms. All data on PD patients' state are compared...

  • From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition

    Publication

    Recently gathered image datasets and the new capabilities of high-performance computing systems have allowed developing new artificial neural network models and training algorithms. Using the new machine learning models, computer vision tasks can be accomplished based on the raw values of image pixels instead of specific features. The principle of operation of deep neural networks resembles more and more what we believe to be happening...

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  • Three-objective antenna optimization by means of kriging surrogates and domain segmentation

    Publication

    In this paper, an optimization framework for multi-objective design of antenna structures is discussed which exploits data-driven surrogates, a multi-objective evolutionary algorithm, response correction techniques for design refinement, as well as generalized domain segmentation. The last mechanism is introduced to constrain the design space region subjected to sampling, which permits reduction of the number of training data samples...

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