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Search results for: PROJECT-BASED LEARNING
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Team project I (2020/21)
e-Learning CoursesWithin this team project, students will be designing a space mission. Each student will choose a subsystem: mission analysis, propulsion, communication, structure, mechanisms, power, thermal, onboard data handling. Together, by means of concurrent engineering a primary system definition will be completed.
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Evidence-Based Practice
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Evidence-based nursing
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Evidence Based Midwifery
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Evidence-based dentistry
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Evidence-Based Medicine
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Intelligence-Based Medicine
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TeleCAD w kształceniu studentów Wydziału Inżynierii Lądowej Politechniki Gdańskiej
PublicationPrzedstawiono system TeleCAD opracowany w ramach projektu Leonardo da Vinci - Teleworkers Training for CAD Systems Users (1998-2001). Głównym celem projektu było stworzenie środowiska obsługi kursów programu AutoCAD bazującego na Internecie jako medium do komunikacji między uczestnikami oraz do dostarczania materiałów kursowych. W artykule zaprezentowano również system służący do oceny jakości szkoleń na odległość. Szkolenie TeleCAD...
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Bayesian Optimization for solving high-frequency passive component design problems
PublicationIn this paper, the performance of the Bayesian Optimization (BO) technique applied to various problems of microwave engineering is studied. Bayesian optimization is a novel, non-deterministic, global optimization scheme that uses machine learning to solve complex optimization problems. However, each new optimization scheme needs to be evaluated to find its best application niche, as there is no universal technique that suits all...
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Internet w procesie kształcenia studentów
PublicationWirtualna rzeczywistość sieci komputerowych staje się coraz bardziej obecna w naszym życiu. Internet odgrywa rosnącą rolę w edukacji, rekrutacji, handlu, sprawowaniu władzy oraz rozrywce. Dlatego też zastanowić się trzeba, na jakie problemy napotykają wykładowcy przy tworzeniu materiałów dostępnych przez Internet oraz studenci w związku z wykorzystaniem nowoczesnych technologii do pozyskiwania informacji i wiedzy....
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Computing methods for fast and precise body surface area estimation of selected body parts
PublicationCurrently used body surface area (BSA) formulas give satisfactory results only for individuals with typical physique, while for elderly, obese or anorectic people accurate results cannot be expected. Particularly noteworthy are the results for individuals with severe obesity (body-mass index greater than 35 kg/m2), for which BSA estimation errors reached 80%. The main goal of our study is the development of precise BSA models for...
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The CDIO model in architectural education and research by design
PublicationArchitectural education has always been related to experimentation: that is, defining concepts, drawing sketches, working on models, then testing and modifying them. This activity mirrors the CDIO learning methods and objectives. Despite this, research studies into the applicability of the CDIO model in architectural curricula are scarce. In the discipline of architecture, hands-on experiences are associated not only with one of...
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Methodology for hospital design in architectural education
PublicationThe architecture of a hospital should be a response to strong user requirements. Recommendations on how to shape the environment of such facilities are highly complex, integrating guidelines from many fields of science. If contradictions between them exist, the designer is required to set priorities for spatial activities. This issue is particularly important during architectural education. The learning process should include projects...
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Leveraging spatio-temporal features for joint deblurring and segmentation of instruments in dental video microscopy
PublicationIn dentistry, microscopes have become indispensable optical devices for high-quality treatment and micro-invasive surgery, especially in the field of endodontics. Recent machine vision advances enable more advanced, real-time applications including but not limited to dental video deblurring and workflow analysis through relevant metadata obtained by instrument motion trajectories. To this end, the proposed work addresses dental...
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Dynamic Bankruptcy Prediction Models for European Enterprises
PublicationThis manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm’s bankruptcy risk is one of the most interesting topics for investors and decision-makers. The aim of the paper is to develop and to evaluate dynamic bankruptcy prediction models for European enterprises. To conduct this objective, four forecasting models are developed with the use of four different methods—fuzzy sets, recurrent and...
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The evolution of education spaces - from plan as generator to regenerative architecture, virtual rooms and green campuses
PublicationThe study programmes are often considered the main formative factors in the process of educating future architects. Another highly influential component is the architectural characteristics of learning spaces, and consequently the impact of the physical built environment on the quality of education has been widely discussed. However, not often do we realise that the characteristics of education spaces correlate with the organisational...
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Introductory CDIO Project [Energy Technologies][2021/22]
e-Learning CoursesDesign of complete prototype of Simple electronic circuit (DC-DC converter) with control based on integrated circuit.
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Introductory CDIO Project [Energy Technologies][2021/22]
e-Learning CoursesDesign of complete prototype of Simple electronic circuit (DC-DC converter) with control based on integrated circuit.
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Research project I (February 2024)
e-Learning CoursesThis is the course for English-speaking students of Research project I. Access code: KSiSR2024 If you have some problem with access to the course please sent me e-mail to: slagaj@eti.pg.edu.pl (give me the name and your id number).
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SkinDepth - synthetic 3D skin lesion database
Open Research DataSkinDepth is the first synthetic 3D skin lesion database. The release of SkinDepth dataset intends to contribute to the development of algorithms for:
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Further development of the poroelastic road surface within the new Polish project SEPOR
PublicationRoad surfaces have a direct impact on noise generated by rolling tyres, the main and dominant source of noise of moving vehicles. Road surface texture, porosity and stiffness/elasticity govern the pavement contribution to tyre/road noise the most. An experimental PoroElastic Road Surface (PERS) is a wearing course with a high content of interconnected voids (pores) and with an elastic behavior due to the use of small particles...
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GeoSPAR Project. Validation and selection methods of geoinformation analysis using GIS for ranking and forecasting of terrorist threats and criminal events
PublicationThe paper presents the description of work activities which have already been done within the first two stages – WorkPackage 1 and WorkPackage 2 - of the GeoSPAR Project. In such a context the general conceptual design of the GIS system and associate web service was presented and analysed. In addition, the operational and technical requirements for the GeoSPAR system have been specified and discussed; with special emphasis on system...
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Project DESYME - development system for mobile services
PublicationPrzedstawiono cele, aspekty techniczne i strukturę programu europejskiego DESYME. Przeanalizowano aktualny stan techniki i trudności, na jakie napotykają podmioty usiłujące wykorzystać techniki mobilne w swych przedsięwzięciach. Przedstawiono potencjalne korzyści płynące z implementacji w tych warunkach wyników projektu DESYME. Skrótowo przedstawiono architekturę proponowanych rozwiązań oraz wykorzystywane techniki. Przedstawiono...
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A method of software project risk identyfication and analysis
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Identifying Software Project Risks with the Process Model.
PublicationArtykuł prezentuje podejście do identyfikacji ryzyka w projektach informatycznych oparte na modelowaniu procesów. Podejście obejmuje jawne modelowanie procesów programowych oraz identyfikację ryzyka dwoma dedykowanymi technikami. Artykuł wprowadza meta-model dla wyrażenia ryzyka procesu. Następnie szczegółowo przedstawiono dwie systematyczne techniki identyfikacji ryzyka odwołujące się do modelu procesu i skupiające uwagę analityka...
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Stakeholder identification as a determinant of sustainable project management
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Review of EuCARD project on accelerator infrastructure in Europe
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Simulation model for resource-constrained construction project
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Water Reuse - project 2022/2023
e-Learning Coursesw ramach tego kursu przekazywane są informacje związane z projektem prowadzonym przez Alinę Wargin. Kierownikiem przedmiotu jest prof. Krzysztof Czerwionka. This course provides information related to the project led by Alina Wargin. The head of the subject is prof. Krzysztof Czerwionka.
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Water Reuse - project 2023/2024
e-Learning Coursesw ramach tego kursu przekazywane są informacje związane z projektem prowadzonym przez Alinę Wargin. Kierownikiem przedmiotu jest prof. Krzysztof Czerwionka. This course provides information related to the project led by Alina Wargin. The head of the subject is prof. Krzysztof Czerwionka.
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Open source solution LMS for supporting e-learning/blended learning engineers
PublicationW artykule zaprezentowano darmowe systemy zarządzania kształceniem na odległość wspomagające e-learningowe/mieszane nauczanie inżynierów. Pierwszy system TeleCAD został opracowany w ramach projektu Leonardo da Vinci (1998-2001). System TeleCAD był propozycją w projekcie V Ramowy CURE (2003-2006). W roku 2003 dzięki projektowi Leonardo da Vinci EMDEL (2001-2005) Centrum Edukacji Niestacjonarnej Politechniki Gdańskiej wybrało system...
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Process engineering and chemical equipment - project -2022/23
e-Learning CoursesProcess engineering and chemical equipment - project
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Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan
PublicationResearch background: The global financial crisis from 2007 to 2012, the COVID-19 pandemic, and the current war in Ukraine have dramatically increased the risk of consumer bankruptcies worldwide. All three crises negatively impact the financial situation of households due to increased interest rates, inflation rates, volatile exchange rates, and other significant macroeconomic factors. Financial difficulties may arise when the...
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Evaluation of Readiness of IT Organizations to Agile Transformation Based on Case-Based Reasoning
PublicationNowadays many of IT organization decides to change the way of delivering from classic, waterfall approach to agile. This transition is called “agile transformation” (AT). The problem of this process is that part of companies started AT without any analysis. This causes that many of transitions fails and organizations must return to old methods of delivering. Cost of return is significant and number of projects with violated project...
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Distance learning trends: introducing new solutions to data analysis courses
PublicationNowadays data analysis of any kind becomes a piece of art. The same happens with the teaching processes of statistics, econometrics and other related courses. This is not only because we are facing (and are forced to) teach online or in a hybrid mode. Students expect to see not only the theoretical part of the study and solve some practical examples together with the instructor. They are waiting to see a variety of tools, tutorials,...
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Research project
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Project Managemant
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PROJECT MANAGAMENT
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Project management
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Team project
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Ireneusz Czarnowski Prof.
PeopleIRENEUSZ CZARNOWSKI is a graduate of the Faculty of Electrical Engineering at Gdynia Maritime University. He gained a doctoral degree in the field of computer science at Poznan University of Technology and a postdoctoral degree in the field of computer science at Wroclaw University of Science and Technology. Since 1998 is associated with Gdynia Maritime University, currently is a professor of computer science in the Department...
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Intelligent video and audio applications for learning enhancement
PublicationThe role of computers in school education is briefly discussed. Multimodal interfaces development history is shortly reviewed. Examples of applications of multimodal interfaces for learners with special educational needs are presented, including interactive electronic whiteboard based on video image analysis, application for controlling computers with facial expression and speech stretching audio interface representing audio modality....
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Qualia: About Personal Emotions Representing Temporal Form of Impressions - Implementation Hypothesis and Application Example
PublicationThe aim of this article is to present the new extension of the xEmotion system as a computerized emotional system, part of an Intelligent System of Decision making (ISD) that combines the theories of affective psychology and philosophy of mind. At the same time, the authors try to find a practical impulse or evidence for a general reflection on the treatment of emotions as transitional states, which at some point may lead to the...
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Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks
PublicationDeep Neural Networks (DNN) are state of the art algorithms for image classification. Although significant achievements and perspectives, deep neural networks and accompanying learning algorithms have some important challenges to tackle. However, it appears that it is relatively easy to attack and fool with well-designed input samples called adversarial examples. Adversarial perturba-tions are unnoticeable for humans. Such attacks...
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Comparing the Effectiveness of ANNs and SVMs in Forecasting the Impact of Traffic-Induced Vibrations on Building
PublicationTraffic - induced vibrations may cause damage to structural elements and may even lead to structural collapse. The aim of the article is to compare the effectiveness of algorithms in forecasting the impact of vibrations on buildings using the Machine Learning (ML) methods. The paper presents two alternative approaches by using Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). Factors that may affect traffic-induced...
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Method of selecting the LS-SVM algorithm parameters in gas detection process
PublicationIn this paper we showed the method of resistive gas sensors data processing. The UV irradiation and temperature modulation was applied to improve gas sensors’ selectivity and sensitivity. Noise voltage across the sensor’s terminals (proportional to its resistance fluctuations) was recorded to estimate power spectral density. This function was an input data vector for LS-SVM (least squares – support vector machine) algorithm, which...
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Is This Distance Teaching Planning That Bad?
PublicationIn spring 2020, university courses were moved into the virtual space due to the Covid-19 lockdown. In this paper, we use experience from courses at Gdańsk University of Technology and ETH Zurich to identify core problems in distance teaching planning and to discuss what to do and what not to do in teaching planning after the pandemic. We conclude that we will not return to the state of (teaching) affairs that we had previously....
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A novel approach exploiting properties of convolutional neural networks for vessel movement anomaly detection and classification
PublicationThe article concerns the automation of vessel movement anomaly detection for maritime and coastal traffic safety services. Deep Learning techniques, specifically Convolutional Neural Networks (CNNs), were used to solve this problem. Three variants of the datasets, containing samples of vessel traffic routes in relation to the prohibited area in the form of a grayscale image, were generated. 1458 convolutional neural networks with...
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Keystroke Dynamics Patterns While Writing Positive and Negative Opinions
PublicationThis paper deals with analysis of behavioural patterns in human–computer interaction. In the study, keystroke dynamics were analysed while participants were writing positive and negative opinions. A semi-experiment with 50 participants was performed. The participants were asked to recall the most negative and positive learning experiences (subject and teacher) and write an opinion about it. Keystroke dynamics were captured and...
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Technique for reducing erosion in large-scale circulating fluidized bed units
PublicationThis paper presents a methodology, implemented for a real industrial-scale circulating fluidized bed boiler, to mitigate the risk of heating surfaces exposed to an intensive particle erosion process. For this purpose, a machine learning algorithm was developed to support the boiler reliability management process. Having a tool that can help mitigate the risk of uncontrolled power unit failure without expensive and technically complex...