Wyniki wyszukiwania dla: LEARNING MANAGEMENT SYSTEMS - MOST Wiedzy

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Wyniki wyszukiwania dla: LEARNING MANAGEMENT SYSTEMS

Wyniki wyszukiwania dla: LEARNING MANAGEMENT SYSTEMS

  • Evaluation of ChatGPT Applicability to Learning Quantum Physics

    Publikacja

    - Rok 2023

    ChatGPT is an application that uses a large language model. Its purpose is to generate answers to various questions as well as provide information, help solve problems and participate in conversations on a wide range of topics. This application is also widely used by students for the purposes of learning or cheating (e.g., writing essays or programming codes). Therefore, in this contribution, we evaluate the ability of ChatGPT...

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  • Informal projects management with volunteers participation

    The article briefly presents some experiences and results of research which has been conducted in order to identify key elements influencing the success of projects managed in informal way with volunteers’ participation. These experiences were collected during the realization of several “soft” projects. The general aims of these projects were sports competitions’ organisation, cultural events and charity projects for...

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  • Towards systemic functional safety and security management in hazardous plants

    The aim of this article is to identify and discuss some issues related to functional safety and security management in hazardous industrial plants. The safety functions are to be realised using the electric / electronic / programmable electronic systems (E/E/PESs) or the safety instrumented systems (SISs) that are designed and operated respectively according to IEC 61508 and IEC 61511 requirements in life cycle. Although the role...

  • Management and Economics for GTM

    Kursy Online
    • K. Zięba

    The aim of this course is to make students acquainted with economic foundations, economic way of thinking and elements of own business management. Green Technologies and Monitoring 2nd semester

  • How to Design Affect-aware Educational Systems – the AFFINT Process Approach

    Publikacja

    - Rok 2016

    Computer systems, that support learning processes, can adapt to the needs and states of a learner. The adaptation might directly address the knowledge deficits and most tutoring systems apply an adaptable learning path of that kind. Apart from a preliminary knowledge state, there are more factors, that influence education effectiveness and among those there are fluctuating emotional states. The tutoring systems may recognize or...

  • Aspect-Oriented Management of Service Requests for Assurance of High Performance and Dependability

    A new approach to service requests management in case of insufficient hardware resources is proposed. It is based on wide aspects of requests analysis and it assures reliable and fast access to priority services. Requests are analyzed for, among others, time of occurrence, category of user who made the request, type of service, current system load and hardware utilization. Deterministic but dynamic rules help to manage system load...

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  • Detecting Lombard Speech Using Deep Learning Approach

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

    - SENSORS - Rok 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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  • Knowledge Management for Managing Crisis in Tourism: Theoretical insights

    Publikacja

    COVID-19 has caused an unprecedented crisis affecting the entire tourism industry. Accommodation, food, and travel sectors have been affected by the decreased number of visitors, which had a ripple effect on the financial situation of the whole industry. The purpose of this work is a better understanding of the role of knowledge management in terms of mitigating the crisis in the tourism sector, as well as a development of the...

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  • Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits

    Publikacja

    The Contextual Multi-Armed Bandits (CMAB) framework is pivotal for learning to make decisions. However, due to challenges in deploying online algorithms, there is a shift towards offline policy learning, which relies on pre-existing datasets. This study examines the relationship between the quality of these datasets and the performance of offline policy learning algorithms, specifically, Neural Greedy and NeuraLCB. Our results...

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  • Anna Maria Trzaskowska dr inż.

    Anna Maria Trzaskowska od 2017 roku jest zatrudniona na stanowisku adiunkta na Wydziale Zarządzania i Ekonomii w Katedrze Informatyki w Zarządzaniu. Przez ponad 2 lata pełniła funkcję Zastępcy Kierownika Katedry oraz Quality Lead na studiach MBA prowadzonych na wydziale. Od 2018 roku Kierownik Programu międzywydziałowego kierunku Inżynieria Danych. Od 2021 roku Kierownik Projektu oraz członek kilku projektów międzynarodowych w...

  • Pedestrian safety management using the risk-based approach

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

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  • Integration of cloud-based services into distributed workflow systems: challenges and solutions

    The paper introduces the challenges in modern workflow management in distributed environments spanning multiplecluster, grid and cloud systems. Recent developments in cloud computing infrastructures are presented and are referring howclouds can be incorporated into distributed workflow management, aside from local and grid systems considered so far. Severalchallenges concerning workflow definition, optimisation and execution are...

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  • Analytical and legislative challenges of sewage sludge processing and management

    This article presents the most popular methods of sewage sludge management and analytical techniques which could be a powerful tool in designing new sewage sludge management methods. Chemical analysis is also described as a vital point at the subsequent stages of technological processes control and sewage sludge quality assessment. It is also an instrument essential to maintaining control of processed sewage sludge introduced to...

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  • Visual Management as the support in building the concept of continuous improvement in the enterprise

    The following article presents one of the selected tools of the Lean Management concept – visual management. This method enables enterprises to strengthen their process of continuous improvement. Due to the support of visual management, it is possible to manage information more effectively by the managerial board and to improve communication process within in the particular company. In the first part, the author describes the concept...

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  • Operational Research - Queuing Systems 2022

    Kursy Online
    • J. Konorski

    Components, characteristics, classification, analysis, and applications of queuing systems.

  • E-learning workshops with Norbert Berger

    Kursy Online
    • J. Makowski

    The series of workshops supports MBA faculty in planning, designing, delivering and assessing blended and online modules for their cohorts. It is supplemented by individual coaching to create Moodle and conferencing solutions and their delivery.

  • Piotr Rajchowski dr inż.

    Piotr Rajchowski (Member, IEEE) was born in Poland, in 1989. He received the E.Eng., M.Sc., and Ph.D. degrees in radio communication from the Gdańsk University of Technology (Gdańsk Tech), Poland, in 2012, 2013, and 2017, respectively. Since 2013, he has been working at the Department of Radiocommunication Systems and Networks, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, as a IT...

  • Trust Management Method for Wireless Sensor Networks

    Publikacja

    - Rok 2017

    A Wireless Sensor Network (WSN) is a network of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data to the main location. The first wireless network that bore any real resemblance to a modern WSN is the Sound Surveillance System (SOSUS), developed by the United States Military in the 1950s to detect and track Soviet...

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  • Urban Vegetation in Air Quality Management: A Review and Policy Framework

    Recent episodes of high air pollution concentration levels in many Polish cities indicate the urgent need for policy change and for the integration of various aspects of urban development into a common platform for local air quality management. In this article, the focus was placed on the prospects of improving urban air quality through proper design and protection of vegetation systems within local spatial planning strategies....

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  • Knowledge management in the IPv6 migration process

    There are many reasons to deploy IPv6 protocol with IPv4 address space depletion being the most obvious. Unfortunately, migration to IPv6 protocol seems slower than anticipated. To improve pace of the IPv6 deployment, authors of the article developed an application that supports the migration process. Its main purpose is to help less experienced network administrators to facilitate the migration process with a particular target...

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  • Selected aspects of logistics management of the production process in an enterprise

    Publikacja

    - Rok 2016

    The following article presents selected aspects of management of production logistics process in enterprise. Companies treat this part of business as a way to empower market position. In the first part author explained the idea of process. The next part describes the definition of logistics production management, which is crucial for manufacturing enterprises. However, author described lots of tools related to production management...

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  • Positive management of the university

    Publikacja

    - Rok 2015

    Abstract: The prevailing view held at contemporary Polish universities is that their main goal is to achieve effects measured by indicators, which applies to each element of their mission: education, research and the third mission, whereas the means to accomplish this goal consists of increasing the requirements and motivating by the “carrot and stick” approach. That approach discounts the importance of building a positive relationship...

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  • A Knowledge base for intelligent information management

    Publikacja

    W pracy przedstawiono zasady modelowania służącego do budowy bazy wiedzy prydatnej w podejmowani decyzji w otoczeniu charakteryzujacym sie duzym natężeniem informacji. Omówiono miękkie oraz twarde podejscie do takiego modelowania.

  • Intelligent information, knowledge, and technology management

    Publikacja

    W pracy omówiono najnowsze kierunki badań związanych z inteligentnym podejściem do zarządzania wiedzą i technologiami.

  • Soft modelling support for information management

    Publikacja

    W artykule zaproponowano trzystopniowy proces modelowania przepływów informacji. Zaproponowane stopnie obejmują dekompozycje, reprezentacje i integracje. Przedyskutowano możliwości wspomagania każdego z powyższych stopni przypomocy systemów opartych na bazie wiedzy, głównie inteligentnego przeszuki-wania, systemów ekspertowych i sieci neuronowych.

  • Assessment of Road Restraint Systems in Polish Conditions

    Key to understanding the needs and tools of road infrastructure management is identifying the hazards and their sources involved in having no or faulty road restraint systems. Clarity is also needed on why the systems are wrongly designed, constructed, built and operated. To ensure that the problem is adequately understood, research and site observations were conducted and...

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  • Operational Research - Queuing Systems 2024

    Kursy Online
    • J. Konorski

    Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

  • Operational Research - Queuing Systems 2024

    Kursy Online

    Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

  • Developing Methods for Building Intelligent Systems of Information Resources Processing Using an Ontological Approach

    Publikacja
    • V. Lytvyn
    • V. Vysotska
    • M. Bublyk
    • P. Grudowski
    • Y. Matseliukh
    • R. Nanivskyi

    - Advances in Intelligent Systems and Computing - Rok 2021

    The problem of developing methods of information resource processing is investigated. A formal procedure description of processing text content is developed. A new ontological approach to the implementation of business processes is proposed. Consider that the aim of our work is to develop methods and tools for building intelligent systems of information resource processing, the core of knowledge bases of which are ontology’s, and...

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  • Process of Medical Dataset Construction for Machine Learning-Multifield Study and Guidelines

    Publikacja

    The acquisition of high-quality data and annotations is essential for the training of efficient machine learning algorithms, while being an expensive and time-consuming process. Although the process of data processing and training and testing of machine learning models is well studied and considered in the literature, the actual procedures of obtaining data and their annotations in collaboration with physicians are in most cases...

  • Systematics of intelligent transport systems services

    Recent years have seen a more intensified deployment of Intelligent Transport Systems (ITS) in Polish cities. Work is also underway on the implementation of ITS on the national roads within the National Traffic Management System (KSZR). The research project RID-4D (part of Road Innovations), is designed to fill the gap, which is the lack of systematics of ITS services in Poland. The paper presents a proposal of ITS services systematics,...

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  • Data augmentation for improving deep learning in image classification problem

    Publikacja

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

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  • Internet photogrammetry as a tool for e-learning

    Publikacja

    - Rok 2015

    Along with Internet development, there were interactive applications which allow for remote sensing and photogrammetric analysis. An example of an application that can provide Earth images and make it possible to measure distances in these images is Google Earth. The authors, who have experience from 2001-2015 argue that it is possible and it is important to create more advanced photogrammetric network applications. In this there...

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  • Polyurethane-wood composites (PU-WC) as a method of wood waste management

    Publikacja

    In recent years, due to the progressive environmental degradation and increase of environmental awareness, the sustainability of production systems in wood processing, the wood industry, and wood waste management is a crucial issue for European industry and society. Consequently, the problem of generating wood-like waste and the associated risks has become an increasingly noticeable challenge for science. Although various methods...

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  • Tools for road infrastructure safety management – Polish experiences

    The objective of road safety infrastructure management is to ensure that when roads are planned, designed, built and used road risks can be systematically identified, assessed, removed and mitigated. There are a number of approaches to road safety management. European Union Directive 2008/96/EC requires EU member states to use four basic tools of road safety infrastructure management. An overview of the methods in these countries...

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  • EVALUATING THE EFFECTIVENESS OF NON-PHYSICAL SPEED MANAGEMENT MEASURES

    Publikacja

    - Rok 2017

    The subject of the Authors' analyses is a group of non-physical speed management measures. How effective they are depends primarily on how willing drivers are to accept restrictions. Social and cultural factors play a major role. The effectiveness of these measures is not clear and requires further research. The authors conducted such research and evaluated the effects of nonphysical speed management measures on driver behaviour...

  • 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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  • Organisational culture and change management in courts, based on the examples of the Gdańsk area courts

    ABSTRAKT Background. Courts are by definition bureaucratic, hierarchical organisations, epitomised by low levels of networking potential, which basically lack mechanisms of information exchange, or those of sharing information both at the level of the organisation of the justice system (the macro scale) and within a given court (the micro scale). Research aims. The aims of this article was implementing modern management methods...

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  • Potential for ITS/ICT Solutions in Urban Freight Management

    The article presents a study on applying ITS solutions in planning and management of urban freight transport in Gdynia. The traffic management system Tristar which is under implementation and its related systems show a potential to assist in development of freight transport measures. Recommendations for urban freight policy development supplementing Gdynia's Sustainable Urban Mobility Plan were used as a basis for identification...

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  • Explainable machine learning for diffraction patterns

    Publikacja
    • S. Nawaz
    • V. Rahmani
    • D. Pennicard
    • S. P. R. Setty
    • B. Klaudel
    • H. Graafsma

    - Journal of Applied Crystallography - Rok 2023

    Serial crystallography experiments at X-ray free-electron laser facilities produce massive amounts of data but only a fraction of these data are useful for downstream analysis. Thus, it is essential to differentiate between acceptable and unacceptable data, generally known as ‘hit’ and ‘miss’, respectively. Image classification methods from artificial intelligence, or more specifically convolutional neural networks (CNNs), classify...

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  • MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG

    Publikacja
    • A. Kastrau
    • M. Koronowski
    • M. Liksza
    • P. Jasik

    - Rok 2021

    This study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...

  • Human Feedback and Knowledge Discovery: Towards Cognitive Systems Optimization

    Publikacja

    - Procedia Computer Science - Rok 2020

    Current computer vision systems, especially those using machine learning techniques are data-hungry and frequently only perform well when dealing with patterns they have seen before. As an alternative, cognitive systems have become a focus of attention for applications that involve complex visual scenes, and in which conditions may vary. In theory, cognitive applications uses current machine learning algorithms, such as deep learning,...

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  • Verification of agent system for it project management support

    Publikacja

    This article is a continuation of article series telling about research about possibility of using agent system to information technology evaluation. Following article presents full conception of exploiting agent system and shows how it can support some managers works, especially in taking correct management method and information tool for project management. In this article the agent system that based on knowledge and can process...

  • Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions

    Publikacja

    - Polimery w Medycynie - Rok 2024

    Background. Dapsone (DAP) is an anti-inflammatory and antimicrobial active pharmaceutical ingredient used to treat, e.g., AIDS-related diseases. However, low solubility is a feature hampering its efficient use. Objectives. First, deep eutectic solvents...

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  • Management of Textual Data at Conceptual Level

    Publikacja

    - Rok 2011

    The article presents the approach to the management of a large repository of documents at conceptual level. We describe our approach to representing Wikipedia articles using their categories. The representation has been used to construct groups of similar articles. Proposed approach has been implemented in prototype system that allows to organize articles that are search results for a given query. Constructed clusters allow to...

  • Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech

    Publikacja
    • D. Korzekwa
    • R. Barra-Chicote
    • B. Kostek
    • T. Drugman
    • M. Łajszczak

    - Rok 2019

    We present a novel deep learning model for the detection and reconstruction of dysarthric speech. We train the model with a multi-task learning technique to jointly solve dysarthria detection and speech reconstruction tasks. The model key feature is a low-dimensional latent space that is meant to encode the properties of dysarthric speech. It is commonly believed that neural networks are black boxes that solve problems but do not...

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  • Information System for Drivers Within the Integrated Traffic Management System - TRISTAR

    Publikacja

    Advanced traveler information systems (ATIS) for drivers are a very important element of modern traffic management. In recent years ITS infrastructure is being developed also in Poland. It allows for delivering to drivers information related to the conditions in the road network through, inter alia, dedicated Variable Message Signs (VMS). Such information enables drivers to take decisions, contributing to improving the efficiency...

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  • Ontology management in the multi-agent system for the it evaluation

    Publikacja

    The team of researchers at the Gdańsk University of Technology is currently developing a model of the multi-agent system (MAS_IT) that would aid the IT managers to find the most appropriate technology to the goals assumed. The knowledge is to be provided by experts and stored in the facts and rules bases. The responsibility of the verification process-on the input and query stages-is given to the ontology, making it to some extend...

  • Emergent approach to Knowledge Management by Small Companies: multiple case-study research

    Publikacja

    - Journal of Knowledge Management - Rok 2016

    Purpose: The aim of this paper is to examine knowledge management approach followed by small companies on the example of firms from the knowledge-intensive business services (KIBS) sector. Design/methodology/approach: The study is based on the results of a qualitative survey involving 12 owners and managers of small companies operating in the KIBS sector. The survey uses the case study method. Findings: The findings confirm that...

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  • Project-Based Learning as a Method for Interdisciplinary Adaptation to Climate Change—Reda Valley Case Study

    Publikacja

    The challenges of the global labour market require university authorities to extend traditional forms of education into more innovative and effective solutions. Project-based learning (PjBL) is one of highly effective methods for acquiring knowledge and teaching “soft” skills to future employees. This article describes an experimental use of PjBL at a university with a long history of teaching based on traditional methods—the Gdansk...

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