Wyniki wyszukiwania dla: training within industry - MOST Wiedzy

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Wyniki wyszukiwania dla: training within industry

Wyniki wyszukiwania dla: training within industry

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

    Publikacja

    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...

  • 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

    Publikacja

    - Communications in Computer and Information Science - Rok 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

    Publikacja

    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]

    Kursy Online
    • W. Stahl
    • M. Jaskólski

    The course is for Energy Technologies students

  • Energy Consumption Analysis Methods in Industry

    Publikacja

    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

    Publikacja

    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

    Publikacja

    - Rok 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

    Publikacja

    - Rok 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

    Publikacja

    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

    Publikacja

    - Rynek Energii - Rok 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

    Publikacja

    - Rok 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

    Czasopisma

    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

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

    - Rok 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

    Publikacja

    - Rok 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

    Publikacja

    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

    Publikacja

    - Rok 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

    Publikacja

    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

    Kursy Online
    • W. Stahl
    • M. Jaskólski

  • Knowledge pills in Education and Training: A Literature Review

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

    - Rok 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

    Publikacja
    • A. Szerenos
    • A. Maciocha

    - Rok 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

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

    - Rok 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

    Publikacja

    - Rok 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

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 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

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

    - JOURNAL OF FOOD ENGINEERING - Rok 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

    Publikacja
    • R. Kowalczyk

    - Rok 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

    Dane Badawcze
    wersja 1.1 open access - seria: 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.

    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

    Kursy Online
    • 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

    Publikacja

    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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  • CHEMISTRY & INDUSTRY

    Czasopisma

    ISSN: 0009-3068 , eISSN: 2047-6329

  • Catalysis in Industry

    Czasopisma

    ISSN: 2070-0504 , eISSN: 2070-0555

  • Industry and Innovation

    Czasopisma

    ISSN: 1366-2716 , eISSN: 1469-8390

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

    Publikacja

    - SPEECH COMMUNICATION - Rok 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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  • Frequency response spectra applied to assess efficiency of the training techniques

    Publikacja

    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

    Publikacja

    - Rok 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

    Publikacja

    - Rok 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

    Publikacja

    - Rok 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

    Publikacja

    - Rok 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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  • Sławomir Ostrowski dr inż.

    Sławomir Ostrowski jest pracownikiem naukowo-dydaktycznym zatrudnionym na stanowisku adiunkta w Katedrze Informatyki w Zarządzaniu na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W 2018 roku uzyskał stopień doktora nauk ekonomicznych w dyscyplinie: nauki o zarządzaniu. Absolwent jednolitych studiów magistersko-inżynierskich na kierunku Zarządzanie (specjalność Zarządzanie Technologiami IT) na Wydziale Zarządzania i Ekonomii...

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

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

    - International Journal on Information Technologies and Security - Rok 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

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 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

    Publikacja

    - Procedia Computer Science - Rok 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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  • Concept of managing quality in baking industry, in vector representation

    The author introduced an innovative metrisable method of describing a manufacturing process. The idea of vector structure of a manufacturing process allows to formulate quantitative relations between the activity of input streams, elements of product quality, and measurable effects of losses. The structure was basis for the formulation of the concept of the process of managing product quality in the baking industry in a vector...

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