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Search results for: LEASING PRACOWNICZY

  • Some problems of slide bearing material fatigue evaluation.

    A slide bearing alloy resistance against fatigue failures have been investigated for three different lubricants, different heat loadings and different stress ratio κ values. The research methods and data handling procedures for determination of particular parameter effects on fatigue strength have been described and analysed for experiments that were set and performed in laboratory tester SKMR-2. Main and interaction effects of...

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  • Affective computing and affective learning – methods, tools and prospects

    Every teacher knows that interest, active participation and motivation are important factors in the learning process. At the same time e-learning environments almost always address only the cognitive aspects of education. This paper provides a brief review of methods used for affect recognition, representation and processing as well as investigates how these methods may be used to address affective aspect of e-education. The paper...

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  • Stability and load bearing capacity of a truss with elastic braces

    Publication

    - Year 2014

    The present paper is devoted to the numerical and experimental investigations of stability of a truss stiffened by elastic braces. The model of a real roof truss scaled by factor ¼ was investigated. In the research the linear buckling and non-linear static analysis of the truss shell and beam model with geometric and material non-linearity is presented. The initial imperfections were assumed in the form of the first buckling mode....

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  • Bearing errors passive sonar stationary target location

    Przedstawiono metodę wyznaczania współrzędnych nieruchomego celu na podstawie namiarów wykonywanych w sonarze pasywnym. Określono wymagania odnośnie ruchu sonaru, przy których błędy wyznaczania współrzędnych są minimalne. Podano zależności umożliwiające analityczne wyznaczanie błędów współrzędnych. Poprawność wyników analizy potwierdzono eksperymentami numerycznymi.

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  • Test loading of the longest span arch bridge in Poland

    Bridge structures undergo thorough examination during test loading before they come into use. The aim of the examination is to check the correctness of the working structure and construction design assumptions. Test loading on the bridge is preceded by examination specification. This paper describes computational model and test loading results carried out during examibation of the bridge over the Vistula within the bypass of Puławy...

  • Noise measurement setups for fluctuations enhanced gas sensing

    Obserwacje zjawisk fluktuacyjnych w sensorach gazów pozwala zwiększyć czułość i selektywność detekcji gazów. Problemem jest budowa prostego i taniego systemu do obserwacji tych zjawisk. W artykule przedstawiono dwa systemy pozwalające na obserwacje szumów w rezystancyjnych sensorach gazów dostępnych na rynku i prototypowych, wykonanych z warstwy nanocząstek o zbliżonych wymiarach.

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  • Scent emitting multimodal computer interface for learning enhancement

    Komputerowy interfejs aromatyczny stanowi ważne uzupełnienie procesu stymulacji polisensorycznej. Stymulacja ta odgrywa kluczową rolę w terapii i kształceniu dzieci z zaburzeniami rozwoju (np. w przypadku autyzmu czy ADHD). Opracowany interfejs może stać się elementem wyposażenia tzw. sal doświadczania świata, ale może być także stosowany niezależnie stanowiąc znaczące wzbogacenie komputerowych programów edukacyjnych. Dzięki możliwości...

  • Motor bearing diagnostics performed by means of laser vibrometer

    Publication

    Damage of bearings is the most common cause of failures in squirrel-cage induction motors. That is why the issues connected with diagnostics of bearings are so important. The equipment employed for bearing diagnostics usually makes use of vibrations as the criterion for technical condition of the bearings. This paper presents exemplary results of the research conducted on bearings with artificially introduced damage. A scanning...

  • Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification

    Publication
    • L. B. Kish
    • H. Chang
    • C. Kwan
    • J. Jensen
    • G. Schmera
    • J. Smulko
    • Z. Gingl
    • C. G. Granqvist

    - IEEE TRANSACTIONS ON NANOTECHNOLOGY - Year 2011

    Przedstawiono wcześniejsze wyniki badań dotyczące trzech różnych sposobów wykrywania obecności substancji biologicznych za pomocą zjawisk fluktuacyjnych: 1) wirusów wnikających do komórek, 2) zapachów emitowanych przez mikroby, 3) rozkładu widma i wartości chwilowych szumów podczas rozpraszania światła używanego do wykrywania zarodników na podstawie wyznaczenia współczynnika dyfuzji opisująceo ich ruch.We survey and show our earlier...

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  • An odor-sensing system - powerful technique for foodstuff studies

    Publication

    This work examines gas sensor array technology combined with multivariate data processing methods and demonstrates a promising potential for rapid, non-destructive analysis of food. Main attention is focused on detailed description of sensor used in e-nose instruments, construction, and principle of operation of these systems. Moreover, this paper briefly reviews the progress in the field of artificial olfaction and future trends...

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  • Acoustic heating produced in the thermoviscous flow of a Bingham plastic

    This study is devoted to the instantaneous acoustic heating of a Bingham plastic. The model of the Bingham plastic's viscous stress tensor includes the yield stress along with the shear viscosity, which differentiates a Bingham plastic from a viscous Newtonian fluid. A special linear combination of the conservation equations in differential form makes it possible to reduce all acoustic terms in the linear part of of the final equation...

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  • Large hydrodynamic thrust bearing: Comparison of the calculations and measurements

    Hydrodynamic thrust bearings, used to carry axial loads in heavily loaded shafts of water power plants hydro turbines, can reach outer diameters even exceeding 5 m. In such large objects scale effect could be observed. According to this, allowable bearing specific load assuring safe operation of the bearings has to be decreased, which increases thrust bearing dimensions. This effect is caused by excessive thermal deflections of...

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  • Computer-assisted assessment of learning outcomes in the laboratory of metrology

    Publication

    - Year 2015

    In the paper, didactic experience with broad and rapid continuous assessment of students’ knowledge, skills and competencies in the Laboratory of Metrology, which is an example of utilisation of assessment for learning, is presented. A learning management system was designed for manage, tracking, reporting of learning program and assessing learning outcomes. It has ability to provide with immediate feedback, which is used by the...

  • CSR in Family Business- Ethnocentric Meaning Socially Responsible?

    The aim of this paper is to provide framework and key issues relevant for research on social responsibility of family business. From providing two theoretical approaches towards social responsibility such as social capital concept commenting on the familiness as a family firm resource and capability; and the stakeholder theory we move to the state of the art of family business. Then, we discuss heterogeneity among family firms...

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  • Fitting the mobile device characteristics to the user's hearing preferences

    A method for fitting the mobile computer audio characteristics to the user's hearing preferences is proposed. The process consists of two stages: calibration and dynamics processing. During the calibration phase the user performs a loudness scaling test giving their response regarding the perceived loudness. The dynamics processing made on above basis sets the loudness to the most comfortable level. The processing accounts both...

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  • An advanced Thermal-FSI approach to flow heating/cooling

    Actually, two-way thermal-energy exchange between working fluid and solid material of a casing is a leading problem for modern – semi automatic – design techniques. Many questions should be solved, especially, the turbulent mode of thermal energy transport both in fluid and solid, should be re-examined and reformulated from the primary principles. In the present paper, a group of researchers from Energy Conversion Department of...

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  • The use and development of e-learning systems in educational projects

    Publication

    - Year 2014

    The article introduces the problem of usage and development of e-learning systems among Polish universities. Easily accessible internet and IT development led to changes in education. Through the use of IT tools, e-learning has become an increasingly popular form of education. Presently, majority of Polish universities use an e-learning system of their own choosing designed to support the didactic processes. The goal of the article...

  • Influence of Ti4+ on the long lasting luminescence of Sr2SiO4:Eu2+

    Publication

    - RSC Advances - Year 2015

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  • AGAR a Microbial Colony Dataset for Deep Learning Detection

    Publication
    • S. Majchrowska
    • J. Pawlowski
    • G. Gula
    • T. Bonus
    • A. Hanas
    • A. Loch
    • A. Pawlak
    • J. Roszkowiak
    • T. Golan
    • Z. Drulis-Kawa

    - Year 2021

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  • Cement composites with expanded graphite as resistance heating elements

    Publication

    - JOURNAL OF COMPOSITE MATERIALS - Year 2020

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  • Energy-Recovery Pressure-Reducer in District Heating System

    Publication

    - Water - Year 2018

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  • Machine Learning Modelling and Feature Engineering in Seismology Experiment

    Publication
    • M. Brykov
    • I. Petryshynets
    • C. Pruncu
    • V. Efremenko
    • D. Pimenov
    • K. Giasin
    • S. Sylenko
    • S. Wojciechowski

    - SENSORS - Year 2020

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  • Hazardous gases detection by fluctuation-enhanced gas sensing

    W pracy przedstawiono układ pomiarowy oraz metodę za pomocą której można jednym rezystancyjnym czujnikiem gazów wykrywać dwa gazy: amoniak i siarkowodór. Podano wskaźnik jaki pozwala dokonać detekcji tych gazów już przy stężeniach rzędu pojedynczych ppm. Przebadano także powtarzalność wyników pomiarów w kilku egzemplarzach czujników.

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  • Acoustic heating produced in the thermoviscous flow of a bingham plastic

    This study is devoted to the instantaneous acoustic heating of a Bingham plastic. The model of the Bingham plastic's viscous stress tensor includes the yield stress along with the shear viscosity, which differentiates a Bingham plastic from a viscous Newtonian fluid. A special linear combination of the conservation equations in differential form makes it possible to reduce all acoustic terms in the linear part of of the final equation...

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  • Remote sensing and photogrammetry techniques in diagnostics of concrete structures

    Recently laser scanning technologies become widely used in many areas of the modern economy. In the following paper authors show a potential spectrum of use Terrestrial Laser Scanning (TLS) in diagnostics of reinforced concrete elements. Based on modes of failure analysis of reinforcement concrete beam authors describe downsides and advantages of adaptation of terrestrial laser scanning to this purpose, moreover reveal under which...

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  • The methylome and transcriptome of fetal skin: implications for scarless healing

    Aim: Fetal skin is known to heal without scarring. In mice, the phenomenon is observed until the 16–17 day of gestation – the day of transition from scarless to normal healing. The study aims to identify key methylome and transcriptome changes following the transition. Materials & methods: Methylome and transcriptome profiles were analyzed in murine dorsal skin using microarray approach. Results & conclusion: The genes associated...

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  • 3D polypyrrole structures as a sensing material for glucose detection

    Publication

    In this work, 3D polypyrrole (PPy) structures as material for glucose detection is proposed. Polypyrrole was electrochemically polymerized on platinum screen-printed electrode from an aqueous solution of lithium perchlorate and pyrrole. The growth mechanism of such PPy structures was studied by ex-situ scanning electron microscopy. Preliminary studies show that studied here PPy film is a good candidate as a sensing material for...

  • A study on signal processing methods applied to hearing aids

    Publication

    - Year 2016

    This paper presents a short survey on current technology available in hearing aids with a focus on digital signal processing techniques used. First, factors influencing the hearing aid effectiveness are introduced. Then, examples of the present DSP methods and strategies are provided. Also, a description of current limitations of hearing aids and future trends of development are shown. Finally, the notion of computational auditory...

  • A new diagnostic method for evaluation of cardiosurgery wound healing

    Publication

    One of important and still unsolved problems in medicine is the question of objective and quantitative evaluation of post-surgery wound healing. The aim of this research is to analyse possibility and value of using the newly elaborated infrared imaging procedure – Active Dynamic Thermography (ADT) – for quantitative description of wound healing processes in cardiosurgery. Both, classical thermal figures of merit as well as ADT...

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  • An application of blended and collaborative learning in spatial planning course

    Publication

    Spatial Planning is a master course for graduate students of Environmental Engineering. The course is based on assumptions that students’ future work will be connected with spatial planning, and spatial issues will have an influence on their everyday lives. To familiarize students with environmental issues in planning, the teams of students get an assignment to design an urban space, waterfront along a stream. The whole project...

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  • Graphene field-effect transistor application for flow sensing

    Publication

    - EPJ Web of Conferences - Year 2017

    Microflow sensors offer great potential for applications in microfluidics and lab-on-a-chip systems. However, thermal-based sensors, which are commonly used in modern flow sensing technology, are mainly made of materials with positive temperature coefficients (PTC) and suffer from a self-heating effect and slow response time. Therefore, the design of novel devices and careful selection of materials are required to improve the overall...

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  • Nitrogen dioxide sensing properties of PEDOT polymer films

    This work presents a simple and fully electrochemical route for the polymerization of poly(3,4-ethylenedioxytiophene) (PEDOT) films for fabricating a NO2 gas sensor prepared by electropolymerization of 3,4-Ethylenedioxythiophene (EDOT) monomer in lithium perchlorate/acetonitrile solution. The main aim of this study is to determine the sensing properties of conductive polymer at elevated temperatures. The effects of the humidity,...

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  • HIGH TEMPERATURE HEAT PUMPS – PERSPECTIVE HEATING SYSTEMS?

    Publication

    - Year 2017

    In the paper presented are authors own concepts of high temperature compressor heat pumps for the utilisation of medium and low temperature sources of heat. Working fluids for use in high temperature heat pumps are discussed, as well as the criteria for their selection. Analyses are presented for the production of in the upper steam source at 130 °C. One-stage systems and cascade systems were analyzed. An analysis of the coefficient...

  • Prospects of Decreasing Power Losses in a Hydrostatic Thrust Bearing

    Publication

    - TRIBOLOGIA - Year 2017

    In numerous machines, axial load is carried by tilting pad thrust bearings known since the beginning of 20th century. These bearings are commonly bath lubricated, which is simple, does not require any additional pumps, and, due to this, such systems are highly reliable. In a contemporary technology, however, minimization of friction losses became an important goal of machinery improvement. Calculations based on elementary rules...

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  • Federated Learning in Healthcare Industry: Mammography Case Study

    The paper focuses on the role of federated learning in a healthcare environment. The experimental setup involved different healthcare providers, each with their datasets. A comparison was made between training a deep learning model using traditional methods, where all the data is stored in one place, and using federated learning, where the data is distributed among the workers. The experiment aimed to identify possible challenges...

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  • Bioactive core material for porous load-bearing implants

    So far state of knowledge on biodegradable materials is reviewed. Among a variety of investigated materials, those composed of polymers and ceramics may be considered as only candidates for a core material in porous titanium alloy. The collagen and chitosan among natural polymers, polyhydroxy acids among synthetic polymers, and hydroxyapatite and tricalcium phosphate among ceramics are proposed for further research. Three essential...

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  • Acoustic heating produced in resonators filled by a newtonian fluid

    Publication

    Acoustic heating in resonators is studied. The governing equation of acoustic heating is derived by means of the special linear combination of conservation equations in differential form, allowing the reduction of all acoustic terms in the linear part of the final equation, but preserving terms belonging to the thermal mode responsible for heating. This equation is instantaneous and includes nonlinear acoustic terms that form a...

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  • Robust and Efficient Machine Learning Algorithms for Visual Recognition

    Publication

    - Year 2022

    In visual recognition, the task is to identify and localize all objects of interest in the input image. With the ubiquitous presence of visual data in modern days, the role of object recognition algorithms is becoming more significant than ever and ranges from autonomous driving to computer-aided diagnosis in medicine. Current models for visual recognition are dominated by models based on Convolutional Neural Networks (CNNs), which...

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  • Training of Deep Learning Models Using Synthetic Datasets

    Publication

    - Year 2022

    In order to solve increasingly complex problems, the complexity of Deep Neural Networks also needs to be constantly increased, and therefore training such networks requires more and more data. Unfortunately, obtaining such massive real world training data to optimize neural networks parameters is a challenging and time-consuming task. To solve this problem, we propose an easy-touse and general approach to training deep learning...

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  • Detecting Lombard Speech Using Deep Learning Approach

    Publication
    • K. Kąkol
    • G. Korvel
    • G. Tamulevicius
    • B. Kostek

    - SENSORS - Year 2023

    Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the background concerning the Lombard effect. Then, assumptions of the work performed for Lombard speech detection are outlined. The framework proposed combines convolutional neural networks...

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  • A novel degree-hour method for rational design loading

    Publication

    Cooling degree-hours (CDH) received the broadest application in evaluation of the ambient air cooling efficiency in power engineering (engine intake air cooling systems) and air conditioning. The current CDH numbers are defined as a drop in air temperature multiplied by associated time duration of performance and their summarized annual number is used to estimate the annual effect achieved due to sucked air cooling in power plants...

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  • Edge-Computing based Secure E-learning Platforms

    Publication

    - Year 2022

    Implementation of Information and Communication Technologies (ICT) in E-Learning environments have brought up dramatic changes in the current educational sector. Distance learning, online learning, and networked learning are few examples that promote educational interaction between students, lecturers and learning communities. Although being an efficient form of real learning resource, online electronic resources are subject to...

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  • Social Learning in Cluster Organizations and Accumulation of Technological Capability

    Publication

    - Inzinerine Ekonomika-Engineering Economics - Year 2022

    The purpose of the paper is to present how members of cluster organizations perceive their role in the accumulation of technological capability through social learning. The paper presents the results of a qualitative study of four cluster organizations. The theoretical foundation of the study are the communities of practice and the organizational inertia theories. The study indicates that the dynamics of technological capability...

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  • Multimedia industrial and medical applications supported by machine learning

    Publication

    - Year 2023

    This article outlines a keynote paper presented at the Intelligent DecisionTechnologies conference providing a part of the KES Multi-theme Conference “Smart Digital Futures” organized in Rome on June 14–16, 2023. It briefly discusses projects related to traffic control using developed intelligent traffic signs and diagnosing the health of wind turbine mechanisms and multimodal biometric authentication for banking branches to provide...

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  • INVESTIGATION OF THE LOMBARD EFFECT BASED ON A MACHINE LEARNING APPROACH

    Publication

    The Lombard effect is an involuntary increase in the speaker’s pitch, intensity, and duration in the presence of noise. It makes it possible to communicate in noisy environments more effectively. This study aims to investigate an efficient method for detecting the Lombard effect in uttered speech. The influence of interfering noise, room type, and the gender of the person on the detection process is examined. First, acoustic parameters...

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  • The Cultures of Knowledge Organizations: Knowledge, Learning, Collaboration (KLC)

    Publication

    - Year 2023

    This book focuses on seeing, understanding, and learning to shape an organization’s essential cultures. The book is grounded on a fundamental assumption that every organization has a de facto culture. These “de facto cultures” appear at first glance to be serendipitous, vague, invisible, and unmanaged. An invisible and unrecognized de facto culture can undermine business goals and strategies and lead to business failures. The authors...

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  • Assessing the attractiveness of human face based on machine learning

    Publication

    The attractiveness of the face plays an important role in everyday life, especially in the modern world where social media and the Internet surround us. In this study, an attempt to assess the attractiveness of a face by machine learning is shown. Attractiveness is determined by three deep models whose sum of predictions is the final score. Two annotated datasets available in the literature are employed for training and testing...

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  • Impact of thermal loading into the structural performance of ships: A review

    Publication

    The presented study reviews the recent advances done regarding the impact of thermal loading on the structural performance of ships. Firstly, the studies related to the mechanical and thermal properties of typical materials used in shipbuilding are outlined. Secondly, a brief introduction to the heat transfer analysis, Finite Element modelling and thermal stresses is provided. Finally, the review of papers dealing with the structural...

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  • How Machine Learning Contributes to Solve Acoustical Problems

    Publication
    • M. A. Roch
    • P. Gerstoft
    • B. Kostek
    • Z. Michalopoulou

    - Journal of the Acoustical Society of America - Year 2021

    Machine learning is the process of learning functional relationships between measured signals (called percepts in the artificial intelligence literature) and some output of interest. In some cases, we wish to learn very specific relationships from signals such as identifying the language of a speaker (e.g. Zissman, 1996) which has direct applications such as in call center routing or performing a music information retrieval task...

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  • Musical Instrument Identification Using Deep Learning Approach

    Publication

    - SENSORS - Year 2022

    The work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related to musical instrument identification. It focuses on tasks performed, input type, algorithms employed, and metrics used. The paper starts with the background presentation, i.e., metadata...

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