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Search results for: PROJECT BASED LEARNING
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Some aspects of blended-learning education
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Note on universal algoritms for learning theory
PublicationW 2001 Cucker i Smale zaproponowali nowe podejście do teorii uczenia się w oparciu o problematykę teorii aproksymacji.W 2005 i 2007 Bivev, Cohen, Dahmen, DeVore i Temlyakov opublikowali dwie prace z teorii uczenia się. W omawianej publikacji uogólniliśmy ich rezultaty jednocześnie upraszczając dowody.
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Prototype selection algorithms for distributed learning
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Structure and Randomness in Planning and Reinforcement Learning
PublicationPlanning in large state spaces inevitably needs to balance the depth and breadth of the search. It has a crucial impact on the performance of a planner and most manage this interplay implicitly. We present a novel method \textit{Shoot Tree Search (STS)}, which makes it possible to control this trade-off more explicitly. Our algorithm can be understood as an interpolation between two celebrated search mechanisms: MCTS and random...
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E-learning in tourism and hospitality: A map
PublicationThe impact of information and communication technologies (ICT) on tourism and hospitality industries has been widely recognized and investigated as a one of the major changes within the domains in the last decade: new ways of communicating with prospective tourists and new ways of purchasing products arisen are now part of the industries’ everyday life. Poor attention has been paid so far to the role played by new media in education...
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Musical Instrument Identification Using Deep Learning Approach
PublicationThe work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related to musical instrument identification. It focuses on tasks performed, input type, algorithms employed, and metrics used. The paper starts with the background presentation, i.e., metadata...
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Geographical Information Systems GIS (project) [2022/23]
e-Learning CoursesSubject: Geographical Information Systems GIS, Inter-faculty (field of study: Energy Technologies), undergraduate studies, full-time studies (semester 6) Teacher: dr inż. Andrzej Augusiak, doc. PG Abstract: The course aims to teach the practical implementation of a simple project in the field of GIS geographical information systems. As part of the project, the course participant will learn how to use the basic methods and tools...
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublicationTreatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...
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Using deep learning to increase accuracy of gaze controlled prosthetic arm
PublicationThis paper presents how neural networks can be utilized to improve the accuracy of reach and grab functionality of hybrid prosthetic arm with eye tracing interface. The LSTM based Autoencoder was introduced to overcome the problem of lack of accuracy of the gaze tracking modality in this hybrid interface. The gaze based interaction strongly depends on the eye tracking hardware. In this paper it was presented how the overall the...
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The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing
PublicationRubbers combine the flexibility with mechanical strength, supporting myriad applications, but suffer from inherent flammability. Formulation and production of flame-retardant rubber composites (FRRCs) have intensively been practiced over years, but not comprehensively reviewed. This necessity has outlined collecting, analyzing, screening, classifying, and interpreting the literature with the aim of classifying the FRRCs. We quantified...
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Sprawiedliwość agrarna
Publicationprawiedliwość agrarna została napisana z intencją zreformowania stosunków społeczno-politycznych. Tekst opiera się na założeniu wywodzącym się z tradycji prawnonaturalnej, które brzmi, iż pierwotnie każdy był współwłaścicielem powierzchni Ziemi. Powstanie prywatnej własności ziemskiej (czyli, eo ipso, wywłaszczenie większości ludzi) należy zakwalifikować jako akt bezprawia, kumulujący się w historycznie nawarstwionych nierównościach...
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Thermal Images Analysis Methods using Deep Learning Techniques for the Needs of Remote Medical Diagnostics
PublicationRemote medical diagnostic solutions have recently gained more importance due to global demographic shifts and play a key role in evaluation of health status during epidemic. Contactless estimation of vital signs with image processing techniques is especially important since it allows for obtaining health status without the use of additional sensors. Thermography enables us to reveal additional details, imperceptible in images acquired...
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An Approach to Agent-Based Supporting System for IT Projects
PublicationAbstract. The natural development of information technology area stimulates intense growth of various technologies which support basic organization processes. The range of technologies implies appropriate management thereof, as well as accurate correspondence with conducted activities. Abandonment of activities within individual branches in favour of project approach to performed assignments (especially those connected with software...
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Evidence-based Complementary and Alternative Medicine
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Road traffic can be predicted by machine learning equally effectively as by complex microscopic model
PublicationSince high-quality real data acquired from selected road sections are not always available, a traffic control solution can use data from software traffic simulators working offline. The results show that in contrast to microscopic traffic simulation, the algorithms employing neural networks can work in real-time, so they can be used, among others, to determine the speed displayed on variable message road signs. This paper describes...
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Greencoin as an AI-Based Solution Shaping Climate Awareness.
PublicationOur research aim was to define possible AI-based solutions to be embedded in the Green- coin project, designed as a supportive tool for smart cities to achieve climate neutrality. We used Kamrowska-Załuska’s approach for evaluating AI-based solutions’ potential in urban planning. We narrowed down the research to the educational and economic aspects of smart cities. Furthermore, we used a systematic literature review. We propose...
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Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Network
PublicationDesigning microwave components involves managing multiple objectives such as center frequencies, impedance matching, and size reduction for miniaturized structures. Traditional multi-objective optimization (MO) approaches heavily rely on computationally expensive population-based methods, especially when exe-cuted with full-wave electromagnetic (EM) analysis to guarantee reliability. This paper introduces a novel and cost-effective...
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Marek Adamowicz dr hab. inż.
PeopleStopień naukowy doktora uzyskał w 2008 r. na Wydziale Elektrotechniki i Automatyki Politechniki Gdańskiej. W latach 2005 – 2011 pracował na Akademii Morskiej w Gdyni. W 2010 r. jako laureat programu NCBR LIDER wybrał Wydział Elektrotechniki i Automatyki Politechniki Gdańskiej jako jednostkę realizującą swój projekt z zakresu szerokopasmowych przyrządów półprzewodnikowych i ich zastosowań w elektrowniach wiatrowych. Od 2011 roku...
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Exploring the Solubility Limits of Edaravone in Neat Solvents and Binary Mixtures: Experimental and Machine Learning Study
PublicationThis study explores the edaravone solubility space encompassing both neat and binary dissolution media. Efforts were made to reveal the inherent concentration limits of common pure and mixed solvents. For this purpose, the published solubility data of the title drug were scrupulously inspected and cured, which made the dataset consistent and coherent. However, the lack of some important types of solvents in the collection called...
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Wioleta Kucharska dr hab. inż.
PeopleWioleta Kucharska (Associate Professor at the Faculty of Management and Economics of the Gdansk University of Technology, Fahrenheit Universities Union, Poland), published so far with Wiley, Springer, Taylor & Francis, Emerald, Sage, Elsevier, and Routledge. She is scientifically involved in tacit knowledge and the company culture of knowledge, learning, and collaboration (KLC approach) topics. Recently, she discovered the...
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Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
PublicationNowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of BRBFs plays a key role in deciding to retrofit buildings after seismic excitation; however, existing formulas have limitations and cannot effectively help civil engineers, e.g., FEMA P-58, which is a conservative estimation method. Therefore, there is a need to...
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Machine learning approach to packaging compatibility testing in the new product development process
PublicationThe paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new product development process. The main goal of the developed model is to reduce the risk of failure in compatibility tests which are preformed to ensure safety, durability, and efficacy of the finished product for the entire period of its shelf life and consumer use. This kind of testing...
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An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques
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Competences of academic tutors – research among participants of the project “Masters of Didactics”
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Analysis of continuous-to-discrete transformation effect on a synthesis filter bank project
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Missing Verification of Source Data in Hypertension Research: The HYGIA PROJECT in Perspective
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On the Business Analyst's Responsibilities in an Agile Software Project - A Multi-Method Study
Publication[Context] Agile methods are now used in the majority of software projects, but the definitions of such methods rarely include the role of a business analyst (BA). [Objective] This paper investigates the responsibilities assigned to BAs participating in agile software projects. [Method] We identified potential responsibilities through a systematic literature review (3 databases) and interviews with 6 practitioners. The most commonly...
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Interactions between river catchments and the coastal zone: the EuroCat-VisCat Project
PublicationW pracy przedstawiono: założenia oraz schemat organizacyjny projektu finansowanego przez Wspólnotę Europejską (EuroCat); program badań projektu VisCat realizowanego przez zespoły z UMK oraz PG. Omówiono również prace związane z tworzeniem bazy danych nt. stanu rzeki Wisły i Zatoki Gdańskiej.
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Vector and Triangular Representations of Project Estimation Uncertainty: Effect of Gender on Usability
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
PublicationThis 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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Detection of People Swimming in Water Reservoirs with the Use of Multimodal Imaging and Machine Learning
PublicationEvery year in many countries, there are fatal unintentional drownings in different water reservoirs like swimming pools, lakes, seas, or oceans. The existing threats of this type require creating a method that could automatically supervise such places to increase the safety of bathers. This work aimed to create methods and prototype solutions for detecting people bathing in water reservoirs using a multimodal imaging system and...
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Architectural project V. Design for all 2022/23
e-Learning CoursesSEMESTER V - ACADEMIC YEAR 2022/23 ARCHITECTURAL PROJECT V CHAIR OF URBAN ARCHITECTURE AND WATERSCAPES The course is design by : Dr. eng. arch. Marek Gawdzik m.gawdzik@archplus.gda.pl mgawd@pg.gda.pl & MSc. eng.arch. Dominik Sędzicki dominik.sedzicki@pg.edu.pl TOPIC The subject of the semester project is the revitalization of one of the post-shipyard hall (No. 38 A) located at the Imperial Shipyard...
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Project management for the construction sector in the field of foundation of designed residential building located in this area with the expected impact of mining operation
PublicationAutorzy: Gwóźdź-Lasoń Monika, Berski Łukasz.
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The impact of the distribution network reconfiguration on active power losses: Selected issues of UPGRID project realization
PublicationThe dynamic development of smart grids allows the use of remote controllable switches to change the configuration of the distribution network. The paper discusses the impact of the distribution system reconfiguration on active power losses, taking into account the typical daily load profiles. Based on modified IEEE 33-bus test distribution system the article presents the method of selection the appropriate sensitivity factor and...
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Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions
PublicationBackground. 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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Effective Project Management, DaPE, sem 1 sem 3, 2022/2023 - Nowy
e-Learning CoursesThe aim of the course is to familiarize students with modern methods of effective project management, to present principles, methods and tools supporting decision-making and control processes with particular emphasis on individualized approach to the specifics of the project and its surroundings.
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„Active learning w praktyce” - 17. Szkolenie certyfikowane 13.12.2022 r.
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„Active learning w praktyce” - 4. Szkolenie certyfikowane 21.10.2022 r.
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Indeksy demokracji i stan zaawansowania ich rozwoju ze szczególnym uwzględnieniem projektu Varieties of Democracy - Democracy indices and their state of development with a special focus on the Varieties of Democracy project
PublicationIndeksy demokracji już od wielu lat pomagają naukowcom w klasyfikowaniu reżimów politycznych na całym świecie. Czy jednak projekty tego typu mierzyły i mierzą jakość demokracji w sposób adekwatny? Na podstawie przeglądu literatury przedmiotu można stwierdzić znaczny rozwój metodologii w tym zakresie od końca XX wieku w odpowiedzi na wcześniejsze braki.Autor artykułu opisuje rozwój indeksów demokracji od pierwszych...
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Is it too late now to say we’re sorry? Examining anxiety contagion and crisis communication strategies using machine learning
PublicationIn this paper, we explore the role of perceived emotions and crisis communication strategies via organizational computer-mediated communication in predicting public anxiety, the default crisis emotion. We use a machine-learning approach to detect and predict anxiety scores in organizational crisis announcements on social media and the public’s responses to these posts. We also control for emotional and language tones in organizational...
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IT project management in business
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Model zaangażowania w relacji usługodawca-klient
PublicationW niniejszej monografii przedstawiono rozwiązania pozwalające lepiej zrozumieć złożoność relacji występujących pomiędzy usługodawcami a klientami oraz metody, które pozwalają tę wiedzę wykorzystać w doskonaleniu procesów organizacji usługowych. Monografia podejmuje problem kształtowania zaangażowania na styku usługodawca–klient jako wstępnego i koniecznego warunku rozwijania relacji w usługach. Opierając się na klasycznej drabinie...
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URBAN MENTORING JAKO NOWA TECHNIKA WPRÓŁPRACY W PROCESIE PLANOWANIA PARTCYPACYJNEGO
PublicationW 25 lat od powrotu demokracji opierającej się o neoliberalny paradygmat rozwoju kraju, Polska przyjęła Krajową Politykę Miejską 2030. Wraz z ustawą o rewitalizacji w nowoczesny sposób określa ona pole współpracy władz samorządowych i administracji z mieszkańcami, przejście do drugiej fazy rozwoju społeczeństwa demokratycznego – mieszkańców współgospodarzy przestrzeni miast. Powolna ewolucja tej relacji, silnie obarczonej dziedzictwem...
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Rapid Design Centering of Multi-Band Antennas Using Knowledge-Based Inverse Models and Response Features
PublicationAccounting for manufacturing tolerances as well as uncertainties concerning operating conditions and material parameters is one of the important yet often neglected aspects of antenna development. Appropriate quantification of uncertainties allows for estimating the fabrication yield but also to carry out robust design (e.g., yield maximization). For reliability reasons, statistical analysis should be executed at the accuracy level...
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International Journal of Information Technology Project Management
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Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
PublicationPredicting the Maximum Interstory Drift Ratio (M-IDR) of Steel Moment-Resisting Frames (SMRFs) is a useful tool for designers to approximately evaluate the vulnerability of SMRFs. This study aims to explore supervised Machine Learning (ML) algorithms to build a surrogate prediction model for SMRFs to reduce the need for complex modeling. For this purpose, twenty well-known ML algorithms implemented in Python software are trained...
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Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
PublicationOne of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the ability to anticipate their flexural response. With a comprehensive grid search, several stacked models (i.e., chained, parallel) consisting of various machine learning (ML) algorithms and artificial neural networks (ANNs) were developed to predict the flexural response of SFRC beams. The flexural performance of SFRC beams under bending was...
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Publicly available lecture webcasts - e-learning or promotion tool? case study
PublicationThis paper aims to show how universities interact with Internet users by webcasting selected courses. Paper has exploratory case-study character, presenting example of Berkeley Webcast initiative of University of California, Berkeley, webcasting undergraduate courses and on-campus events. On the base of short introduction to webcasting usage as an e-learning and promotional tool, the analysis of 3 purposely chosen different courses...
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Optimization-Based Robustness Enhancement of Compact Microwave Component Designs with Response Feature Regression Surrogates
PublicationThe ability to evaluate the effects of fabrication tolerances and other types of uncertainties is a critical part of microwave design process. Improving the immunity of the device to parameter deviations is equally important, especially when the performance specifications are stringent and can barely be met even assuming a perfect manufacturing process. In the case of modern miniaturized microwave components of complex topologies,...
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Systemy z Uczeniem Maszynowym / Systems with Machine Learning 2022/2023
e-Learning Courses