Search results for: training within industry - Bridge of Knowledge

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Search results for: training within industry

Search results for: training within industry

  • Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0

    Publication

    - Year 2023

    The importance of the economy being up to date with the latest developments, such as Industry 4.0, is more evident than ever before. Successful implementation of Industry 4.0 principles requires close cooperation of industry and state authorities with universities. A paradigm of such cooperation is described in this paper stemming from university partners with partly overlapping and partly complementary areas of expertise in manufacturing....

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  • Implementation of an Interdisciplinary Educational Path Within "Glassworks in Pomerania Region, Crafts and Industry" Project

    Publication

    Teaching practical skills for work in field during academic lessons for students of geodesy and cartography and students of archaeology is crucial to prepare young students of the profession to participate in apprenticeships, professional realizations excavations and carry out their geodetic services. Another aspect of teaching of future archaeologists and surveyors working with them, is the ability to mutual understanding between...

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

    Publication

    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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  • Magdalena Szuflita-Żurawska

    Head of the Scientific and Technical Information Services at the Gdansk University of Technology Library and the Leader of the Open Science Competence Center. She is also a Plenipotentiary of the Rector of the Gdańsk University of Technology for open science.  She is a PhD Candidate. Her main areas of research and interests include research productivity, motivation, management of HEs, Open Access, Open Research Data, information...

  • A COMPREHENSIVE REVIEW OF LIFE CYCLE ASSESSMENT AND ENERGY EFFICIENCY IN 3D PRINTING FOR CONSTRUCTION: CURRENT STATE, BENEFITS, LIMITATIONS, AND FUTURE OUTLOOK

    Publication

    - Journal of Green Building - Year 2024

    The agenda of Industry 4.0 strongly affects design and construction at all its phases, and three-Dimensional Printing (3DP) is an essential part of it. The emerging technology has the potential to become a more valid and accepted form of construction. This research is based on a literature review regarding the relationships between the concepts of Life Cycle Assessment (LCA) and energy efficiency for 3DP in construction research...

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  • Evaluating Industry 4.0 Implementation Challenges Using Interpretive Structural Modeling and Fuzzy Analytic Hierarchy Process

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2021

    The fourth industrial revolution known as Industry 4.0 is reshaping and evolving the way industries produce products and individuals live and work therefore, gaining massive attraction from academia, business and politics. The manufacturing industries are optimistic regarding the opportunities Industry 4.0 may offer such as, improved efficiency, productivity and customization. The present research contributes to the Industry 4.0...

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  • Neural network training with limited precision and asymmetric exponent

    Publication

    Along with an extremely increasing number of mobile devices, sensors and other smart utilities, an unprecedented growth of data can be observed in today’s world. In order to address multiple challenges facing the big data domain, machine learning techniques are often leveraged for data analysis, filtering and classification. Wide usage of artificial intelligence with large amounts of data creates growing demand not only for storage...

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  • Rengel Cane Sia Doctoral Candidate

    People

    I’m Rengel, born and raised in the Philippines. As an undergraduate I did kinetic modeling on Copper-catalyzed atom transfer radical addition (ATRA). Then I was inspired to do both theoretical and experimental studies, which led me to propose my master’s thesis on Synthesis, Computational, Electrochemical, and Photoconductivity Studies on Naphthalene and its derivatives. This led to a master’s degree in Chemistry in the Mindanao...

  • Aleksandra Parteka dr hab. inż.

    About me: I am an associate professor and head of doctoral studies at the Faculty of Management and Economics, Gdansk University of Technology (GdanskTech, Poland).  I got my MSc degree in Economics from Gdansk University of Technology (2003) and Universita’ Politecnica delle Marche (2005), as well as MA degree in Contemporary European Studies from Sussex University (2006, with distinction).  I received my PhD in Economics...

  • Massive Open Online Courses (MOOCs) in hospitality and tourism

    Publication
    • J. Murphy
    • N. Kalbaska
    • L. Cantoni
    • L. Horton-Tognazzini
    • P. Ryan
    • A. Williams

    - Year 2018

    The tourism industry, interesting and challenging, faces structural human resource problems such as skills shortages and staff turnover, seasonality and a high percentage of small to medium enterprises whose employees have limited time for training or education. Large tourism enterprises often span countries and continents, such as hotel chains, airlines, cruise companies and car rentals, where the employees need similar training...

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  • Paweł Śliwiński dr hab. inż.

    Diplomas and academic degrees. Training 2017:   degree of habilitated doctor;2006:   PhD in Technical Sciences. PhD thesis defended with distinction. Gdansk University of Technology, Faculty of Mechanical Engineering.2000:   Master of Science. Graduated from the university with distinction. Gdansk University of Technology, Faculty of Mechanical Engineering.1995:   Mechanical technician. Graduated from a Technical Secondary School...

  • Strategie treningu neuronowego estymatora częstotliwości tonu krtaniowego z użyciem generatora syntetycznych samogłosek

    W wielu zastosowaniach telekomunikacyjnych pojawia się problem przetwarzania lub analizy sygnału mowy, w ramach którego, często w obszarze podstawowych algorytmów, stosuje się estymator częstotliwości tonu krtaniowego. Estymator rozpatrywany w tej pracy bazuje na neuronowym klasyfikatorze podejmującym decyzje na podstawie częstotliwości oraz mocy chwilowej wyznaczanych w podpasmach analizowanego sygnału mowy. W pracy rozważamy...

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  • Anna Lis dr hab. inż.

    Anna Lis has been the head of the Department of Management in Industry, Faculty of Economics and Management GUT since 2019. In 2005 she obtained Ph.D. degree in the field of Economic Sciences, in the discipline Management Sciences, 2019 – the degree of habilitated doctor in the field of Social Sciences, in the discipline of Management and Quality Studies. In the years 2004-2009 she was employed at the Faculty of Production Engineering...

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

    Publication

    - Logistics and Transport - Year 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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  • Zastosowanie metody studium przypadku w kształceniu menedżerów

    Publication

    Kształcenie z wykorzystaniem metod rozwiązywania problemów (problem-based learning) staje się coraz bardziej popularne na wszystkich poziomach kształcenia, również w edukacji biznesowej. Przykładem takiej metody jest studium przypadku (case study). Metoda studium przypadku pozwala na rozwijanie umiejętności i kompetencji wykorzystywanych przez menedżerów w ich pracy, np. umiejętności syntezy, identyfikacji problemów, czy podejmowania...

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  • Identyfikacja regionalna i branżowa oraz poziom zaangażowania jako determinanty sukcesu inicjatywy klastrowej Interizon

    Publication

    Celem niniejszego artykułu jest analiza trzech wybranych składowych tożsamości grupowej w inicjatywie klastrowej Interizon: identyfikacji regionalnej, identyfikacji branżowej oraz zaangażowania w sprawy inicjatywy oraz ocena ich wpływu na dotychczasowe sukcesy inicjatywy. Autorki opierały się na wynikach badań zrealizowanych w 2014 roku wśród członków inicjatywy Interizon. Badania przeprowadzone były dwufazowo, w oparciu o obserwacje...

  • 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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  • Optymalizacja treningu i wnioskowania sieci neuronowych

    Sieci neuronowe są jedną z najpopularniejszych i najszybciej rozwijających się dziedzin sztucznej inteligencji. Ich praktyczne wykorzystanie umożliwiło szersze użycie komputerów w wielu obszarach komunikacji, przemysłu i transportu. Dowody tego są widoczne w elektronice użytkowej, medycynie, a nawet w zastosowaniach militarnych. Wykorzystanie sztucznej inteligencji w wielu przypadkach wymaga jednak znacznej mocy obliczeniowej,...

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  • Professional activity and women entrepreneurship in Poland – Europe 2020 Strategy perspective

    Publication

    - Year 2013

    The level of economic activity of women in Poland is the lowest among Baltic Sea Region countries. The analysis of Europe 2020 targets, shows that at least 3 of the 5 main objectives relate, more or less, to women (e.g. participation in labor market). The objective concerning social inclusion assumes the increase in the employment rate of men and women (aged 20-64) in Poland up to 71%. To achieve this goal, support programs to...

  • Webquest- dobra praktyka w e-Learningu

    W dobie informatyzacji i pokonywania barier wdrażania e-technologii na uczelniach wyższych uważa się, że jedną z najczęściej stosowanych aktywizujących technik nauczania wśród nauczycieli akademickich jest metoda projektu (ang. project-based learning). W niniejszym opracowaniu proponuje się zastosowanie w procesie edukacji na wyższej uczelni, metody webquest. Jest ona dużo rzadziej stosowana w praktyce. Opracowano ją w oparciu...

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  • 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...

  • EMBOA - affective loop in Socially Assistive Robotics as an intervention tool for children with autism

    e-Learning Courses
    • M. Wróbel
    • A. Landowska

    The aim of the training course "Intensive programmes for higher education learner" within the EMBOA project is to familiarise participants with the use of social robots as an intervention tool for children with autism, emotion recognition and the combination of both methods. Students will be informed about the guidelines and results of the project.

  • Functional safety and managing competence

    Publication

    - Year 2007

    Są nowe wyzwania związane z badaniami, edukacją i szkoleniem w obszarach bezpieczeństwa i ochrony systemów i sieci krytycznych. W rozdziale podkreśla się, że kompetencje specjalistów powinny być kształtowane w zintegrowanych procesach edukacji i szkolenia. Dlatego uzasadnione jest, aby opracować w Europie standardy i programy kształcenia na bazie odpowiednich prac badawczych i najlepszych doświadczeń z praktyki przemysłowej w celu...

  • Anna Wałek dr

    People

    Dr Anna Wałek, President of IATUL – International Association of University Libraries, director of the Gdańsk University of Technology Library.  An experienced library manager, an expert in the field of Open Science, and organization and management of a scientific library. She conducts scientific research in data management in various scientific disciplines, metadata for research data, and data management support services - incl....

  • QUEUE I

    Events

    26-09-2022 10:12 - 30-09-2022 10:12

    Faculty of Applied Physics and Mathematics of Gdańsk Tech invites international students to the next summer school - Quantum and Molecules I (QUEUE I), organized within the ScienceApp project.

  • Patrycja Klimas dr hab.

    People

    Patrycja Klimas is an associate professor at Wroclaw University of Economics and Business in the Department of Advanced Research in Management. As a researcher, she researches within strategic management, focused on inter-organizational cooperation and coopetition considered under dyads, networks, and different types of ecosystems. Based on her research mainly on the aviation and the video game industry, she published several papers...

  • OCENA MOŻLIWOŚCI WYKORZYSTANIA CHARAKTERYSTYK ENERGETYCZNYCH PROCESU DO PRZEWIDYWANIA WSKAŹNIKÓW ENERGETYCZNYCH NA BIEŻĄCO

    W artykule autorka zaprezentowała możliwości wykorzystania charakterystyk energetycznych procesu do bieżącej kontroli wskaźników energetycznych. Metoda bieżącej kontroli wskaźników wykorzystuje jako wartości porównawcze wskaźniki wyznaczane na podstawie charakterystyk energetycznych procesów. Metoda ma przede wszystkim mieć zastosowanie do wczesnego wykrywania i eliminowania nadmiernego, nieracjonalnego zużycia nośników energii...

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  • Tomasz Szymański dr inż. arch.

    Tomasz Szymanski (Ph.D.) is an architect and an assistant professor at the Faculty of Architecture of the Technical University of Gdansk. Graduated at the Faculty of Architecture of the Technical University of Gdansk. Studies completed with a diploma with honors. Research Interests Dr. Tomasz Szymanski are centered around the issue of industrial heritage, re-use, adaptation and revitalization of industrial buildings and objects...

  • 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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  • PRZEKSZTAŁCENIA FRONTU WODNEGO GDAŃSKA

    W ramach publikacji przedstawiono główne tendencje współczesnych przemian frontu wodnego Gdańska. W szczególności omówiono zagadnienia zagospdoarowania obszarów zdegradowanych - poportowych i poprzemysłowych.

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  • Jakub Miler dr inż.

    Academic career: 2000: Master of Science - Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, thesis "Computer system for supporting risk management in a software engineering project", supervisor prof. Janusz Górski 2005: PhD - Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, thesis "A Method of Software Project Risk Identification and Analysis",...

  • Błażej Kochański dr

    Błażej Kochański is an assistant professor at the Department of Statistics and Econometrics  at the Faculty of Management and Economics of Gdańsk University of Technology, banking risk expert. He worked for banks in Poland and Europe, as a risk specialist, planning and analysis manager, chief risk officer, supervisory board member and management consultant. He built numerous credit risk management models, successfully managed credit...

  • Water Resources and Industry

    Journals

    ISSN: 2212-3717

  • Możliwości odzysku fosforu z odcieków, osadów ściekowych i popiołów po termicznym przekształcaniu osadów ściekowych

    W ostatnich latach zaobserwowano rosnącą świadomość o ograniczonych zasobach fosforu. Szacuje się, że mogą one ulec wyczerpaniu w ciągu 100 lat, przy obecnym zaawansowaniu technologii. Ponad 80% wydobywanego złoża wykorzystywane jest do produkcji nawozów sztucznych oraz w przemyśle chemicznym. Taka perspektywa zwiększa zainteresowanie recyklingiem fosforu, który może być odzyskiwany ze ścieków w fazie płynnej, z odwodnionych osadów...

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  • Methods of Cyclist Training in Europe

    Publication

    - Sustainability - Year 2023

    The following study aims to address the issue of cyclist training methodologies. Recent European bicycle accident statistics reveal a troubling upward trend. A potential solution to mitigate such incidents involves providing cyclists with comprehensive training encompassing traffic regulations and interactions with fellow road users. We conducted a comparative analysis of the cycling education approaches and cyclist training systems...

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  • Linguistics Beyond and Within

    Journals

    eISSN: 2450-5188

  • Rzeczywistość rozszerzona – potencjał w kształceniu (przyszłych) pomorskich inżynierów

    Edukacja młodzieży w zakresie nauk eksperymentalnych – takich jak chemia i fizyka – stanowi obecnie w obliczu ograniczeń zaplecza dydaktycznego w szkołach ogromne wyzwanie. Placówki edukacyjne nie posiadają często odpowiednich laboratoriów, lecz dysponują pracowniami komputerowymi. W ramach Projektu EDUAR, współfinansowanego przez NCBiR, przeprowadzono badania w 20 szkołach – po 10 z obszarów wiejskich i miejskich, podczas których...

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  • Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study

    Publication

    Plain weave composite is a long-lasting type of fabric composite that is stable enough when being handled. Open-hole composites have been widely used in industry, though they have weak structural performance and complex design processes. An extensive number of material/geometry parameters have been utilized for designing these composites, thereby an efficient computational tool is essential for that purpose. Different Machine Learning...

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  • WPŁYW KOMUNIKACJI MARKETINGOWEJ NA KSZTAŁTOWANIE ARCHITEKTURY OBIEKTÓW SŁUŻBY ZDROWIA - THE EFFECT OF MARKETING COMMUNICATION ON SHAPING THE ARCHITECTURE OF HEALTHCARE FACILITIES

    Publication

    - Year 2015

    XX wiek wraz z rozwojem kultury masowej przyniósł gwałtowny wzrost znaczenia komunikacji marketingowej, która początkowo pełniła rolę głównie informacyjną, związaną z działaniami reklamowymi. Współcześnie można zauważyć zwiększone zainteresowanie specjalistów z dziedziny marketingu oddziaływaniem na człowieka poprzez przestrzeń, w której on przebywa. Podejmowanie działań marketingowych w ramach usług świadczonych przez jednostki...

  • Health and safety training for students

    e-Learning Courses
    • I. Ziemba-Filip
    • M. Orepuk-Templin
    • M. Sokołowski

    Health and safety training is aimed at all newcoming students of Gdańsk University of Technology.

  • Digitalization of Building Site Management in the Construction Industry

    With Industry 4.0, a digital transformation has started in the construction industry. However, 4.0 technologies have difficulties in the integration of digital systems due to the diversity and complexity of the processes in the construction industry. Multidisciplinary work in architectural projects and the need for high productivity require digital renovation planning in the construction industry. The application of the technologies...

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  • Nanofiltration in the food industry

    Publication

    - Year 2020

    Nanofiltration (NF), as a pressure-driven membrane process, has been widely demonstrated to have great potential for food processing applications. There are several advantages of this membrane process over traditional methods that makes NF suitable for food processing, such as the low thermal damage to the product, higher aroma retention, lower energy consumption, and low maintenance costs. In this chapter, according to the recent...

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  • eNauczanie PG - introductory training for students

    e-Learning Courses
    • N. K. Gietka
    • J. Mytnik
    • A. M. Dąbrowicz-Tlałka
    • O. Ludyga

    The eNauczanie platform, an introductory training for foreign students.

  • Management in space industry WiMiO

    e-Learning Courses
    • E. Marjańska

  • CIP Security Awareness and Training: Standards and Practice

    Publication

    - Year 2016

    These are critical infrastructure employees who have access to the critical cyber assets in the first place. This situation is well recognised by international and national standardisation bodies which recommend security education, training and awareness as one of the key elements of critical infrastructure protection. In this chapter the standards are identified and their relevant areas are described. A practical implementation...

  • CIP Security Awareness and Training: Standards and Practice

    Publication

    - Year 2018

    These are critical infrastructure employees who have access to the critical cyber assets in the first place. This situation is well recognized by international and national standardization bodies which recommend security education, training and awareness as one of the key elements of critical infrastructure protection. In this chapter the standards are identified and their relevant areas are described. A practical implementation...

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  • Baltic Phytoremediation - Training Module

    e-Learning Courses
    • A. Rogala
    • P. Rybarczyk

    This is an on-line training course developed in BAPR - Baltic Phytoremediation project, co-financed by Interreg South Baltic Programme 2014 - 2020. Here, You can learn about the basics and potential of phytoremediation  to clean soil and see the real-life applications of this technology. In order to be enrolled to this course, you’ll need to create a local account with the user ID provided. When your account is generated, you...

  • eNauczanie - introductory training for students - 2020/2021

    e-Learning Courses
    • A. M. Dąbrowicz-Tlałka

    eNauczanie - introductory training for students - 2020/2021

  • Exploration of Creativity Techniques in Software Engineering in Training-Application-Feedback Cycle

    Creativity research has proposed about a hundred and fifty creativity techniques. The question is whether they can be applied in software engineering for creativity training or directing creativity in software projects. This paper aims at answering this question via a quasi-experiment conducted in Training-Application-Feedback cycle in which participants express their opinions about selected creativity techniques after training...

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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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  • A sector-an industry? Definitional challenges in economic sciences

    Publication

    - Year 2010

    the aim of our paper is to present definitional challenges that we as scholars and teachers face while attempting to relate to a sector and an industry terms in economic analyses and from strategic management perspective. we employ secondary research and analyse the state of the academic discourse and common usages of the above terms. we argue that for an economic statistician classifications should be consistent and highlight...

  • Factors Affecting the Effectiveness of Military Training in Virtual Reality Environment

    Publication
    • M. Gawlik-Kobylińska
    • P. Maciejewski
    • J. Lebiedź
    • A. Wysokińska-Senkus

    - Year 2020

    In this paper, we explored the factors influencing the effectiveness of military trainings performed in a virtual reality environment. The rationale for taking up the topic is the fact that such trainings are often conducted under specific operational procedures. These procedures may create rigorous frameworks for all elements of the learning environment, including the teacher’s performance. Therefore, to ensure the most conducive...

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  • Training Services in Small and Medium-sized Enterprises: Evidence from Poland

    In the knowledge-based economy knowledge and skills are becoming more and more significant for the success of companies. This applies also to firms from small and medium-sized enterprises (SMEs) sector. As large companies in many cases posses special divisions devoted to trainings, they normally have no problems with updating the knowledge and skills of their employees. The situation is different with regard to SMEs, which often...

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  • Assessing Industry 4.0 Features Using SWOT Analysis

    Publication

    - Communications in Computer and Information Science - Year 2020

    This paper assesses some features of industry 4.0 by using SWOT analysis that affects the adoption and implementation of industry 4.0. The paper identifies the strengths, weaknesses, opportunities, and threats related to industry 4.0. By the consideration of these four groups of factors, the industrial practitioners can understand how to implement industry 4.0. Moreover, industrial practitioners can use the strengths/opportunities...

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  • Resource constrained neural network training

    Publication

    Modern applications of neural-network-based AI solutions tend to move from datacenter backends to low-power edge devices. Environmental, computational, and power constraints are inevitable consequences of such a shift. Limiting the bit count of neural network parameters proved to be a valid technique for speeding up and increasing efficiency of the inference process. Hence, it is understandable that a similar approach is gaining...

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  • Accounting in Power Industry [23/24]

    e-Learning Courses
    • W. Stahl
    • M. Jaskólski

    The course is for Energy Technologies students

  • Energy Consumption Analysis Methods in Industry

    Publication

    This paper overviews applied methods to evaluate energy consumption in Industry. The most important law regulations are presented, which decide on the necessity to conduct an effec - tive energetic economy. Basic assumptions are defined to calculate direct and cumulative energy consumption. The pros and cons of using each method are presented.

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  • Real and Virtual Instruments in Machine Learning – Training and Comparison of Classification Results

    Publication

    The continuous growth of the computing power of processors, as well as the fact that computational clusters can be created from combined machines, allows for increasing the complexity of algorithms that can be trained. The process, however, requires expanding the basis of the training sets. One of the main obstacles in music classification is the lack of high-quality, real-life recording database for every instrument with a variety...

  • Relacje międzyorganizacyjne w dobie Industry 4.0

    Publication

    - Year 2020

    Strukturę opracowania zbudowano w odniesieniu do zagadnienia relacji międzyorganizacyjnych. Omawianą kwestię osadzono w obecnych realiach Industry 4.0. Celem monografii jest omówienie roli Industry 4.0 w budowaniu i rozwoju relacji międzyorganizacyjnych oraz w kształtowaniu ich specyfiki. W pięciu rozdziałach przedstawiono aspekty „sieciowego” powiązania różnych podmiotów i jednostek na gruncie teorii zarządzania. Opracowanie otwiera...

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  • Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters

    Publication

    - Year 2019

    This paper focuses on convolution neural network quantization problem. The quantization has a distinct stage of data conversion from floating-point into integer-point numbers. In general, the process of quantization is associated with the reduction of the matrix dimension via limited precision of the numbers. However, the training and inference stages of deep learning neural network are limited by the space of the memory and a...

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  • Vehicle detector training with minimal supervision

    Publication

    - Year 2019

    Recently many efficient object detectors based on convolutional neural networks (CNN) have been developed and they achieved impressive performance on many computer vision tasks. However, in order to achieve practical results, CNNs require really large annotated datasets for training. While many such databases are available, many of them can only be used for research purposes. Also some problems exist where such datasets are not...

  • The investment process in the power supply industry

    Publication

    - Rynek Energii - Year 2012

    The basis for power supply industry programming in a market economy should be the principle of sustainable development, which must take into account maintaining an adequate level of energy security on the one hand, and the aim to preserve the maximum degree of non-renewable resources on the other hand. Therefore, the overriding aim should be a strive to meet the current and prospective demand for energy and fuel, in conjugation...

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  • Improving css-KNN Classification Performance by Shifts in Training Data

    Publication

    - Year 2015

    This paper presents a new approach to improve the performance of a css-k-NN classifier for categorization of text documents. The css-k-NN classifier (i.e., a threshold-based variation of a standard k-NN classifier we proposed in [1]) is a lazy-learning instance-based classifier. It does not have parameters associated with features and/or classes of objects, that would be optimized during off-line learning. In this paper we propose...

  • Vocational training

    Journals

    ISSN: 0378-5068

  • Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors

    In the paper we provide thorough benchmarking of deep neural network (DNN) training on modern multi- and many-core Intel processors in order to assess performance differences for various deep learning as well as parallel computing parameters. We present performance of DNN training for Alexnet, Googlenet, Googlenet_v2 as well as Resnet_50 for various engines used by the deep learning framework, for various batch sizes. Furthermore,...

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  • To Survive in a CBRN Hostile Environment: Application of CAVE Automatic Virtual Environments in First Responder Training

    Publication
    • P. Maciejewski
    • M. Gawlik-Kobylińska
    • J. Lebiedź
    • W. Ostant
    • D. Aydın

    - Year 2020

    This paper is of a conceptual nature and focuses on the use of a specific virtual reality environment in civil-military training. We analyzed the didactic potential of so-called CAVE automatic virtual environments for First Responder training, a type of training that fills the gap between First Aid training and the training received by emergency medical technicians. Since real training involves live drills based on unexpected situations,...

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  • A system for singing training

    Publication

    - Year 2007

    The system proposed is aimed at the vocal students and persons who want to improve emission of their voices. The goal is not to substituite a singing teacher but to provide a tool for automatic teaching of voice emission basics. In this way singers can develop their vocal skills and improve them. By a visual feedback a student can control and modify vocal tract maximas (resonances) of a chosen vowel to match the resonances of the...

  • Semantic segmentation training using imperfect annotations and loss masking

    One of the most significant factors affecting supervised neural network training is the precision of the annotations. Also, in a case of expert group, the problem of inconsistent data annotations is an integral part of real-world supervised learning processes, well-known to researchers. One practical example is a weak ground truth delineation for medical image segmentation. In this paper, we have developed a new method of accurate...

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  • Selected aspects of the evolution of the industry analysis

    Publication

    Porter's five forces is a significant tool of analysis of industries. It helps evaluating variables of industry profitability and assessing firm performance. Using the framework, managers can take a decision as to which industries they can effectively compete in and position their companies to reduce the adverse effects of the mentioned forces. According to the critics, the five forces model is limited to its static nature. The...

  • Daylight Appraisal Classes For Achitecture Students A Survey Combined With A Practical Assessment For Educational Training Recommendations

    The main objectives of this article are: (i) to present the relations between architecture students' subjective assessment of daylight in classrooms and the objective evaluation of daylit conditions using daylight simulations tools, (ii) to formulate guidelines and recommendations on daylight appraisal methods and tools which may be useful in architectural training. The methodology used includes an evaluation of the results of...

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  • Web based training system TeleCAD. Teleworkers training for CAD system users

    Publication

    - Year 2003

    W artykule zaprezentowano internetowy system dostarczania kursów do nauczania na odległość. System został opracowany w ramach projektu Leonardo da Vinci TeleCAD (1998-2001). Pokazano jak system wykorzystywany jest obecnie oraz możliwość wykorzystania w projekcie CURE (Research Framework Programme5, 2003-2005).

  • The possibility of use keratin products in various branches of industry

    Publication

    Bird's feather, the main by-product of the poultry industry, are not enough utilized and negatively influencing the environment. They contain large amount of keratin, the protein with high cystine content. The aim of our work was to obtain hydrolysates and isolates of keratin, which can be used in various areas of food, cosmetics, pharmaceutical industry and as animal feed. Keratin can be hydrolyzed and extracted from feather after...

  • 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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  • Accounting in Power Industry [23/24] Nowy

    e-Learning Courses
    • W. Stahl
    • M. Jaskólski

  • Knowledge pills in Education and Training: A Literature Review

    Publication
    • E. Bolisani
    • E. Scarso
    • M. Zięba
    • S. Durst
    • A. Zbuchea
    • A. Lis
    • T. C. Kassaneh

    - Year 2022

    Object and purpose: Knowledge pills (KPs) are a technique for transferring knowledge through short factual batches of content. In education and vocational training, they can help learners acquire specific pieces of knowledge in a few minutes, through a “microteaching” approach where learners can be involved in active and interactive exercises, quizzes, and games. Thanks to the advancements of multimedia platforms, they can contain...

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  • Collaboration within the Automotive Value Chain

    Publication
    • A. Szerenos
    • A. Maciocha

    - Year 2007

    The paper describes new approach to supply chain management in the North American automotive industry, in part influenced by the Japanese model. To survive and prosper all automotive suppliers must face major challenges in supporting their customers including delivering innovative ideas, technology and quality with increasing speed, participating in every aspect of product development and producing entire systems. The authors describe...

  • Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers

    Publication
    • T. Shmelova
    • Y. Sikirda
    • N. Rizun
    • V. Lazorenko
    • V. Kharchenko

    - Year 2020

    This chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...

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  • A note on the applications of artificial intelligence in the hospitality industry: preliminary results of a survey

    Publication

    - Year 2021

    Intelligent technologies are widely implemented in different areas of modern society but specific approaches should be applied in services. Basic relationships refer to supporting customers and people responsible for services offering for these customers. The aim of the paper is to analyze and evaluate the state-of-the art of artificial intelligence (AI) applications in the hospitality industry. Our findings show that the major...

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  • Virtual Engineering Factory: Creating Experience Base for Industry 4.0

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2016

    ABSTRACT In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communica- tion of engineering objects. Consequently, Decisional DNA- based knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO), virtual engineering processes (VEP), and virtual engineering...

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  • Material Flow Analysis in a cooked mussel processing industry

    Publication
    • P. M. Bello Bugallo
    • A. Stupak
    • L. C. Andrade
    • R. Torres López

    - JOURNAL OF FOOD ENGINEERING - Year 2012

    Galicia (NW Spain) is an ideal environment for mussel culture owing to its excellent natural conditions. It is the first Spanish and European mussel producer and the second worldwide after China. More than 50% of the mussel collected in Galicia is used in the processing industry, which produces different products, as cooked mussel that is canned, frozen or used in the food industry. In this paper a methodology based on Life Cycle...

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  • Relationships between stakeholder pressure, culture, and CSR-practices in the context of project management in the construction industry in Poland

    Publication
    • R. Kowalczyk

    - Year 2019

    The study aims to investigate how CSR-stakeholder pressure, CSR-company culture, and CSR-practices are related to one another based on the example of the construction industry in Poland. This knowledge will make it possible to assess which of the two factors, i.e., stakeholder culture or the internal company culture have a stronger effect on the CSR-practices. To accomplish the goal of the study a sample composed of 216 cases was...

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  • LEGO bricks for training classification network

    Open Research Data
    version 1.1 open access - series: LEGO

    The data set contains images of 447 different classes of LEGO bricks used for training LEGO bricks classification network. The dataset contains two types of images: photos (10%) and renders (90%) aggregated into respective directories. Each directory (photos and renders) contains 447 directories labeled as the official brick type number. The images...

  • The role of trade in intra industry productivity growth - the case of old and new European Union countries.

    Publication

    The purpose of this paper is to evaluate the role of trade in productivity growth in a sample of 30 sectors in 25 EU countries in the period of rapid East–West integration (1995–2007). Shift-share analysis is used to show that changes in value added per hour worked in these countries appear to be mainly due to positive developments (rising productivity) within single industries and only to a lower extent result from a shift towards...

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  • Baltic Smart Asset Management - Training Module

    e-Learning Courses
    • A. Rogala
    • P. Rybarczyk

    Baltic Smart Asset Management is an international project co-financed by the funds from Interreg South Baltic Programme 2014-2020. The aim of the project is to develop methods, transnational collaboration processes and knowledge about Smart Asset Management (SAM) for District Heating (DH) sector. The training module will help to spread the professional knowledge on new solutions and applications of SAM methods to promote data-driven...

  • Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging

    Publication

    In the paper we investigate the performance of parallel deep neural network training with parameter averaging for acoustic modeling in Kaldi, a popular automatic speech recognition toolkit. We describe experiments based on training a recurrent neural network with 4 layers of 800 LSTM hidden states on a 100-hour corpora of annotated Polish speech data. We propose a MPI-based modification of the training program which minimizes the...

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  • Computer-assisted pronunciation training—Speech synthesis is almost all you need

    Publication

    - SPEECH COMMUNICATION - Year 2022

    The research community has long studied computer-assisted pronunciation training (CAPT) methods in non-native speech. Researchers focused on studying various model architectures, such as Bayesian networks and deep learning methods, as well as on the analysis of different representations of the speech signal. Despite significant progress in recent years, existing CAPT methods are not able to detect pronunciation errors with high...

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  • CHEMISTRY & INDUSTRY

    Journals

    ISSN: 0009-3068 , eISSN: 2047-6329

  • Catalysis in Industry

    Journals

    ISSN: 2070-0504 , eISSN: 2070-0555

  • Industry and Innovation

    Journals

    ISSN: 1366-2716 , eISSN: 1469-8390

  • Frequency response spectra applied to assess efficiency of the training techniques

    Publication

    The purpose of the research is to assess the increase of the muscle strength and power. Movement of the human body when the moving one impacts a stationary or moving body is taken under consideration. The waveform produced by an impact is transformed into frequency domain. The acceleration record is transformed as a complex spectrum, by the use of a Discrete Fourier Transformation. In this paper the applications of the discrete...

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  • Continuous learning as a method of raising qualifications – the perspective of workers, employers and training organizations

    Publication

    - Year 2014

    Continuous learning is discussed in strategic documents of Poland and the European Union. In Poland, the idea of continuous learning is not very popular. However, in the context of strong competition in the labour market and the progressive globalization processes, the skills issue takes on new meaning — both for employees and employers. In order to adapt skills to labour market needs it is necessary to conduct adequate studies...

  • Community of Practice for Product Innovation Towards the Establishment of Industry 4.0

    Publication

    - Year 2018

    The aim of this paper is to present the necessity of formulating the Community of Practice for Product Innovation process based on Cyber-Physical Production Systems towards the establishment of Industry 4.0. At this developing phase of Industry 4.0, there is a need to define a clear and more realistic approach for implementation process of Cyber-Physical Production Systems in manufacturing industries. Today Knowledge Management...

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  • Eye tracking within near-to-eye display

    Publication

    - Year 2015

    In this paper we investigate the effectiveness of the gaze interaction within near-to-eye display. The practical aspect of the paper is about combining an eye tracker with smart glasses. Presented research is related with the eGlasses project, which is focused on the development of an open platform in the form of multisensory electronic glasses and related interaction methods. One of the implemented interaction methods is the one...

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  • Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping

    In this paper we demonstrate that it is possible to obtain considerable improvement of performance and energy aware metrics for training of deep neural networks using a modern parallel multi-GPU system, by enforcing selected, non-default power caps on the GPUs. We measure the power and energy consumption of the whole node using a professional, certified hardware power meter. For a high performance workstation with 8 GPUs, we were...

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  • The impact of the AC922 Architecture on Performance of Deep Neural Network Training

    Publication

    - Year 2020

    Practical deep learning applications require more and more computing power. New computing architectures emerge, specifically designed for the artificial intelligence applications, including the IBM Power System AC922. In this paper we confront an AC922 (8335-GTG) server equipped with 4 NVIDIA Volta V100 GPUs with selected deep neural network training applications, including four convolutional and one recurrent model. We report...

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  • Immersive Technologies that Aid Additive Manufacturing Processes in CBRN Defence Industry

    Publication
    • M. Gawlik-Kobylińska
    • P. Maciejewski
    • J. Lebiedź
    • A. Kravcov

    - International Journal on Information Technologies and Security - Year 2021

    Testing unique devices or their counterparts for CBRN (C-chemical, B-biological, R-radiological, N-nuclear) defense relies on additive manufacturing processes. Immersive technologies aid additive manufacturing. Their use not only helps understand the manufacturing processes, but also improves the design and quality of the products. This article aims to propose an approach to testing CBRN reconnaissance hand-held products developed...

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  • Usage of a computer based training program for a refrigerating plant, a new tool for marine engineers training.

    Przedstawiono możliwości szkoleniowe dydaktycznego programu komputerowego typu cbt - chłodnia prowiantowa. Omówiono jego strukturę i zawartość merytoryczną Podano sposób oceny nauczanej wykorzystującej ten program. Wskazano korzyści płynące z zastosowania programów typu cbt w procesie kształcenia mechaników okrętowych.

  • Cognitive Systems, Concepts, Processes, and Techniques for the Age of Industry 4.0

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2021

    The aim of this Guest Edition of Cybernetics and Systems is to present a wide-ranging scale of concepts and processes being currently researched, developed, and evaluated in real life settings in anticipation of incoming Industry 4.0 era. With the fourth industrial revolution expectation, the broad spectrum of cognitive approaches have emerged as an attempt to mimic and augment, in some way, human intelligence. Intelligence, in...

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  • Industry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approach

    Publication

    - Procedia Computer Science - Year 2020

    For the last few years, the fourth industrial revolution, known as Industry 4.0, has been a hot topic among academics. Industry 4.0 literature involves researches presenting studies related to its different aspects including challenges, opportunities, implementation and adoption. However, a detailed study of challenges and barriers towards the Industry 4.0 implementation in manufacturing industries is missing. Hence, this paper...

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  • 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...