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Wyniki wyszukiwania dla: CBRN DEFENCE TACTICAL TRAINING

Wyniki wyszukiwania dla: CBRN DEFENCE TACTICAL TRAINING

  • Automatic music genre classification based on musical instrument track separation / Automatyczna klasyfikacja gatunku muzycznego wykorzystująca algorytm separacji dźwięku instrumentó muzycznych

    Publikacja

    The aim of this article is to investigate whether separating music tracks at the pre-processing phase and extending feature vector by parameters related to the specific musical instruments that are characteristic for the given musical genre allow for efficient automatic musical genre classification in case of database containing thousands of music excerpts and a dozen of genres. Results of extensive experiments show that the approach...

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  • Fast multi-criterial statistical analysis and design optimization of compact microwave couplers

    Publikacja

    —A rapid statistical analysis and yield estimation of compact microwave couplers involving multiple performance parameters has been presented. The analysis is realized using a fast surrogate model representing appropriate characteristic points of the coupler response. Because of less nonlinear dependence of the characteristic points on the structure geometry (compared to the original response, i.e., S-parameters vs. frequency),...

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  • Towards a Smart Sustainable City Roadmap

    Publikacja
    • G. V. Pereira
    • E. Estevez
    • R. Krimmer
    • M. Janssen
    • T. Janowski

    - Rok 2019

    This workshop of the CAP4CITY (Erasmus+ Strengthening Governance Capacity for Smart Sustainable Cities) project is to promote and stimulate the discussion and networking in the area of Digital Government. Smart Sustainable Cities and related concepts of Digital, Intelligent and Smart Cities represent a progression of how cities around the world apply digital technology to serve their populations, pursue sustainable socio-economic...

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  • Smart Modeling of Maritime Vessels

    Currently, the market offers many visualization tools available to graphic designers, engineers, managers and academics working on maritime environments. The practice of visualization involves making and manipulating images that convey novel phenomena and ideas. Visual communication, together with virtual reality environments, is an emerging and rapidly evolving discipline. It brings great advantage over written word or voice alone,...

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  • A measurement system for children endurance tests

    There are a lot of ethical problems concerning the use of invasive methods for the measurement of a child's body response to physical exercise and physical training. The alternative is are non-invasive methods like ergospirometry or NIRS. The article presents a measurement system dedicated for children endurance tests, composed of a few non-invasive measurement modules, including a temperature measurement module. Temperature is...

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  • Zastosowanie metodologii wnioskowania z bazy przypadków w tworzeniu atrakcyjnych witryn biznesowych

    Publikacja

    - Rok 2006

    Przedstawiono podstawowe założenia metodologii wnioskowania z bazy przypadków (ang. Case Based Reasoning). Zaakcentowano możliwości jej wykorzystania w sytuacjach, gdy zawodzą metody o charakterzetypowo analitycznym. Zaproponowano zastosowanie CBR dla uatrakcyjnie-nia biznesowych witryn internetowych w sektorze handlowo-usługowym, a w szczególności dla obsługi niekompletnie sprecyzowanych wymagań stawianych przez klientów. Podano...

  • Praca bibliotekarza w erze cyfrowej: 20 darmowych programów i aplikacji do wykorzystania w bibliotece

    Publikacja

    - Forum Bibliotek Medycznych - Rok 2018

    Artykuł prezentuje 20 darmowych programów komputerowych, wykorzystywanych w Bibliotece Głównej Gdańskiego Uniwersytetu Medycznego. Przedstawione aplikacje mogą wzbogacić warsztat pracy bibliotekarzy, którzy zajmują się: tworzeniem szkoleń, edycją bibliotecznych stron internetowych oraz komunikacją z użytkownikami.

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  • Dimensionality-Reduced Antenna Modeling with Stochastically Established Constrained Domain

    Over the recent years, surrogate modeling methods have become increasingly widespread in the design of contemporary antenna systems. On the one hand, it is associated with a growing awareness of numerical optimization, instrumental in achieving high-performance structures. On the other hand, considerable computational expenses incurred by massive full-wave electromagnetic (EM) analyses, routinely employed as a major design tool,...

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  • Recent advances in high-frequency modeling by means of domain confinement and nested kriging

    Development of modern high-frequency components and circuits is heavily based on full-wave electromagnetic (EM) simulation tools. Some phenomena, although important from the point of view of the system performance, e.g., EM cross-coupling effects, feed radiation in antenna arrays, substrate anisotropy, cannot be adequately accounted for using simpler means such as equivalent network representations. Consequently, the involvement...

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  • Recent Advances in Accelerated Multi-Objective Design of High-Frequency Structures using Knowledge-Based Constrained Modeling Approach

    Design automation, including reliable optimization of engineering systems, is of paramount importance for both academia and industry. This includes the design of high-frequency structures (antennas, microwave circuits, integrated photonic components), where the appropriate adjustment of geometry and material parameters is crucial to meet stringent performance requirements dictated by practical applications. Realistic design has...

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  • A Novel Method for the Deblurring of Photogrammetric Images Using Conditional Generative Adversarial Networks

    Publikacja

    The visual data acquisition from small unmanned aerial vehicles (UAVs) may encounter a situation in which blur appears on the images. Image blurring caused by camera motion during exposure significantly impacts the images interpretation quality and consequently the quality of photogrammetric products. On blurred images, it is difficult to visually locate ground control points, and the number of identified feature points decreases...

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  • User Authentication by Eye Movement Features Employing SVM and XGBoost Classifiers

    Publikacja

    Devices capable of tracking the user’s gaze have become significantly more affordable over the past few years, thus broadening their application, including in-home and office computers and various customer service equipment. Although such devices have comparatively low operating frequencies and limited resolution, they are sufficient to supplement or replace classic input interfaces, such as the keyboard and mouse. The biometric...

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  • Infobrokerstwo w Polsce

    W artykule przedstawiono etapy tworzenia infobrokeringu w Polsce, formy kształcenia infobrokerów,: studia podyplomowe, uczelnie, kursy i szkolenia.

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  • Library Information Skills | Primo catalogue

    Kursy Online
    • A. Szymik

    e-Course for students enrolled in English-language degree programmes at Gdańsk University of Technology. Training for the 2024/2025 academic year.

  • Machine Learning Techniques in Concrete Mix Design

    Concrete mix design is a complex and multistage process in which we try to find the best composition of ingredients to create good performing concrete. In contemporary literature, as well as in state-of-the-art corporate practice, there are some methods of concrete mix design, from which the most popular are methods derived from The Three Equation Method. One of the most important features of concrete is compressive strength, which...

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  • Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review

    Publikacja

    The segmentation of liver blood vessels is of major importance as it is essential for formulating diagnoses, planning and delivering treatments, as well as evaluating the results of clinical procedures. Different imaging techniques are available for application in clinical practice, so the segmentation methods should take into account the characteristics of the imaging technique. Based on the literature, this review paper presents...

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  • Polarization-sensitive optical coherence tomography for ceramic materials inspection

    Ceramics production is looking for a fast, reliable and non-destructive method that can be implemented on site for defect detection and analysis. In this paper we present polarization-sensitive optical coherence tomography (PS-OCT) as a method for defect inspection. Proposed extensions to standard OCT provide additional information for complete characterization of tested object. We compare OCT and microscope imaging that can easily...

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  • Ground-based, Hyperbolic Radiolocation System with Spread Spectrum Signal - AEGIR

    The most popular radiolocation systems in the world (at present), is the American GPS (Global Positioning System). It is managed by the Department of Defense and there is always the possibility of the occasional inaccuracies or deliberate introduction of errors that prevent its use by the special services or armies of other countries than the U.S.A. This situation has spawned the need to develop an autonomous, ground-based radiolocation...

  • Software Agents for Computer Network Security

    Publikacja

    - Rok 2012

    The chapter presents applications of multi-agent technology for design and implementation of agent-based systems intended to cooperatively solve several critical tasks in the area of computer network security. These systems are Agent-based Generator of Computer Attacks (AGCA), Multi-agent Intrusion Detection and Protection System (MIDPS), Agent-based Environment for Simulation of DDoS Attacks and Defense (AESAD) and Mobile Agent...

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  • ANN for human pose estimation in low resolution depth images

    Publikacja

    - Rok 2017

    The paper presents an approach to localize human body joints in 3D coordinates based on a single low resolution depth image. First a framework to generate a database of 80k realistic depth images from a 3D body model is described. Then data preprocessing and normalization procedure, and DNN and MLP artificial neural networks architectures and training are presented. The robustness against camera distance and image noise is analysed....

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  • A new look at the statistical identification of nonstationary systems

    The paper presents a new, two-stage approach to identification of linear time-varying stochastic systems, based on the concepts of preestimation and postfiltering. The proposed preestimated parameter trajectories are unbiased but have large variability. Hence, to obtain reliable estimates of system parameters, the preestimated trajectories must be further filtered (postfiltered). It is shown how one can design and optimize such...

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  • Post-comatose patients with minimal consciousness tend to preserve reading comprehension skills but neglect syntax and spelling

    Publikacja

    - Scientific Reports - Rok 2019

    Modern eye tracking technology provides a means for communication with patients suffering from disorders of consciousness (DoC) or remaining in locked-in-state. However, being able to use an eye tracker for controlling text-based contents by such patients requires preserved reading ability in the first place. To our knowledge, this aspect, although of great social importance, so far has seemed to be neglected. In the paper, we...

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  • Udział Biblioteki Politechniki Gdańskiej w procesie umiędzynarodowiania uczelni

    Publikacja

    - Pismo PG - Rok 2020

    Umiędzynarodowienie szkolnictwa wyższego definiowane jest zasadniczo jako podejmowanie studiów na zagranicznych uczelniach oraz udział w międzynarodowych projektach badawczych i szkoleniowych. Umiędzynarodowienie szkół wyższych jest jednym z elementarnych wskaźników, które określają dziś rozwój nauki i szkolnictwa wyższego. Biblioteka PG na różnych polach wspiera uczelnię w procesie internacjonalizacji. Strategia rozwoju usług...

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  • Data augmentation for improving deep learning in image classification problem

    Publikacja

    These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...

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  • Wprowadzenie do analiz egzergetycznych, PG_00059783

    Kursy Online
    • 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.

  • Oddziaływanie środowiska naturalnego na zdrowie sportowca

    Publikacja

    - Rok 2008

    Sukcesy sportowców zależą od wielu czynników. Jakość pożywienia i środowisko naturalne, w którym prowadzony jest intensywny trening wyczynowy wpływają na zdrowie organizmu. Przedstawiono wpływ najczęściej występujących zanieczyszczeń powietrza, wody i gleby na zdrowie człowieka, a w szczególności sportowca. Omówiono wpływ innych czynników jakie mogą występować podczas intensywnych treningów (hałas, drgania, warunki w pomieszczeniu...

  • Overcoming Phobias: Harnessing the Power of Immersive Virtual Reality Therapy

    Publikacja

    - Rok 2024

    The goal of the chapter was to review the different therapeutic techniques used in the treatment of various forms of phobias, with particular emphasis on virtual reality treatment. We define different types of phobias, including social ones. We also describe treatment techniques – adopted from behavioral therapy – which have been developed to aid the treatment of phobias. Particular emphasis has been placed on the flooding, implosive...

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  • ANALYSIS OF BEARING CLEARANCE AND WIDTH OF OIL GROOVE ON CHARACTERISTIC OF FLUID FILM IN HYDRODYNAMIC MAIN CRANKSHAFT BEARINGS

    Publikacja

    Abstract Paper represents analysis of influence of oil groove width and bearing clearance on characteristics of oil film in hydrodynamic journal main crankshaft bearing. Analysis was performed in purpose to define influence of bearing clearance and dimensions of oil groove on static characteristics and manufacturability of half shelf bearings in industrial high-volume production. Computer simulations was made using ARTbear program...

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  • Multistage generalized adaptive notch filter with improved accuracy

    Publikacja

    - Rok 2015

    Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems. Current state of the art GANFs can deliver highly accurate estimates of system variations’ frequency, but underperform in terms of accuracy of the coefficient estimates. The paper proposes a novel multistage GANF with accuracy improved in this aspect. The processing pipeline consists of three stages. The preliminary...

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  • Nonlinear fuzzy control of the dissolved oxygen in activated sludge processes

    Publikacja

    - Rok 2012

    Wastewater treatment plant is generally a complex, multivariable, time varying and nonlinear large scale industrial system. Moreover, interactions between the components are very strong. The dissolved oxygen tracking problem is one of the most complex and fundamental issues of biological processes. Air for the aerated tanks is supplied by aeration system (blowers, pipes, diffusers). It is a complex dynamic system. The new control...

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  • Variable-structure algorithm for identification of quasi-periodically varying systems

    Publikacja

    The paper presents a variable-structure version of a generalized notchfiltering (GANF) algorithm. Generalized notch filters are used for identification of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The proposed algorithm is a cascade of two GANF filters: a multiple-frequency "precise" filter bank, used for precise system tracking, and a...

  • Model zaangażowania w relacji usługodawca-klient

    Publikacja

    - Rok 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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  • Classification of Music Genres Based on Music Separation into Harmonic and Drum Components . Klasyfikacja gatunków muzycznych wykorzystująca separację instrumentów muzycznych

    Publikacja

    - Archives of Acoustics - Rok 2014

    This article presents a study on music genre classification based on music separation into harmonic and drum components. For this purpose, audio signal separation is executed to extend the overall vector of parameters by new descriptors extracted from harmonic and/or drum music content. The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector...

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  • Analysis of Denoising Autoencoder Properties Through Misspelling Correction Task

    Publikacja

    The paper analyzes some properties of denoising autoencoders using the problem of misspellings correction as an exemplary task. We evaluate the capacity of the network in its classical feed-forward form. We also propose a modification to the output layer of the net, which we called multi-softmax. Experiments show that the model trained with this output layer outperforms traditional network both in learning time and accuracy. We...

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  • Evaluation of sound event detection, classification and localization in the presence of background noise for acoustic surveillance of hazardous situations

    Publikacja

    An evaluation of the sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for separating foreground events from the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the classifier...

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  • Managing competence and certifying persons responsible for functional safety = Zarządzanie kompetencjami i certyfikacja osób odpowiedzialnych za bezpieczeństwo funkcjonalne

    This article emphasizes that knowledge and competences of managers, engineers and specialists dealing with safety-related technologies for hazardous industry should be appropriately shaped in the technical education processes and training programmes fulfilling some quality requirements and assessment criteria. It concerns especially persons dealing with the functional safety solutions in the design and operation of the electric,...

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  • Education of Logisticians in Poland: Problems and Prospects in Students’ Opinion

    Publikacja

    - Logistics and Transport - Rok 2019

    Logistics is one of the key sectors of the Polish economy. Its value reflects not only its own capacity, but also the role it plays in ensuring the proper functioning of the entire economy. The rapid development of the industry and the highest demands on logistics solutions bring to the fore the problem of preparing a new generation of specialists in logistics. That is why the question of compliance to learning expectations of...

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  • Adaptive Hounsfield Scale Windowing in Computed Tomography Liver Segmentation

    In computed tomography (CT) imaging, the Hounsfield Unit (HU) scale quantifies radiodensity, but its nonlinear nature across organs and lesions complicates machine learning analysis. This paper introduces an automated method for adaptive HU scale windowing in deep learning-based CT liver segmentation. We propose a new neural network layer that optimizes HU scale window parameters during training. Experiments on the Liver Tumor...

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  • Wybieranie prezentu na podstawie wnioskowania z bazy przypadków.

    Publikacja

    Przedstawiono koncepcję i poszczególne kroki projektowania systemu informatycznego doradzającego użytkownikowi wybranie odpowiedniego prezentu okolicznościowego. Na tle rozważań o efektywności komputerowych systemów doradczych zostało uzasadnione przyjęcie metodologii wnioskowania z bazy przypadków (CBR) jako podstawowej koncepcji systemu. Następnie omówiono strukturę bazy przypadków i cykl wnioskowania w tego typu systemach. Pracę...

  • Traffic Remapping Attacks in Ad Hoc Networks

    Publikacja

    Ad hoc networks rely on the mutual cooperation of stations. As such, they are susceptible to selfish attacks that abuse network mechanisms. Class-based QoS provisioning mechanisms, such as the EDCA function of IEEE 802.11, are particularly prone to traffic remapping attacks, which may bring an attacker better QoS without exposing it to easy detection. Such attacks have been studied in wireless LANs, whereas their impact in multihop...

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

    Publikacja
    • M. Prete
    • M. V. Khenkin
    • D. Głowienka
    • B. R. Patil
    • J. S. Lissau
    • I. Dogan
    • J. Hansen
    • T. Leißner
    • J. Fiutowski
    • H. Rubahn... i 6 innych

    - ACS Applied Energy Materials - Rok 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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  • 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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  • A Time Delay Controller Included Terminal Sliding Mode and Fuzzy Gain Tuning for Underwater Vehicle-Manipulator Systems

    Publikacja

    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

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

    - Rok 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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  • 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...

  • Francesco Fedele M.D.

    Osoby

    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...

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

    Publikacja

    - Rok 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.

  • Marek Biziuk prof. dr hab. inż.

    Osoby

    Ur. 25.06.1947 w Sokółce, Województwo Podlaskie. W latach 1964-1969 studiował na Wydziale Chemicznym PG. Stopień doktora nauk technicznych uzyskał w 1977 r., a stopień doktora habilitowanego nauk chemicznych w zakresie chemia uzyskał na Wydziale Chemicznym PG 24.05.1995 r. Tytuł naukowy profesora nauk chemicznych uzyskał na Wydz. Chemicznym PG 6.04.2001 r. Członek Komitetu Chemii Analitycznej PAN od 2008, członek Zespołu ds....