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Search results for: ELEARNING PROGRAMME
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E-LEARNING NA POLITECHNICE GDAŃSKIEJ - HISTORIA ROZWOJU W LATACH 1995-2020
PublicationInternet oraz kształcenie oparte na wykorzystaniu e-technologii stały się nieodłącznym elementem edukacji. Artykuł przedstawia zarys historii rozwoju e-learningu na Politechnice Gdańskiej, przykładowe rozwiązania technologiczne, elementy tworzenia struktur organizacyjnych oraz związanych z legislacją, a także wybrane projekty wykorzystujące szeroko pojęte e-technologie w edukacji akademickiej realizowanej na Uczelni
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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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Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
PublicationMachine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
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Deep learning techniques for biometric security: A systematic review of presentation attack detection systems
PublicationBiometric technology, including finger vein, fingerprint, iris, and face recognition, is widely used to enhance security in various devices. In the past decade, significant progress has been made in improving biometric sys- tems, thanks to advancements in deep convolutional neural networks (DCNN) and computer vision (CV), along with large-scale training datasets. However, these systems have become targets of various attacks, with...
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Automated detection of pronunciation errors in non-native English speech employing deep learning
PublicationDespite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...
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Optimizing Medical Personnel Speech Recognition Models Using Speech Synthesis and Reinforcement Learning
PublicationText-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons; TTS can help expand the data set. Speech can be synthesized by mimicking different accents, dialects, and speaking styles that may occur in a medical language. Reinforcement Learning (RL), in the...
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An Adaptive Network Model for a Double Bias Perspective on Learning from Mistakes within Organizations
PublicationAlthough making mistakes is a crucial part of learning, it is still often being avoided in companies as it is considered as a shameful incident. This goes hand in hand with a mindset of a boss who dominantly believes that mistakes usually have negative consequences and therefore avoids them by only accepting simple tasks. Thus, there is no mechanism to learn from mistakes. Employees working for and being influenced by such a boss...
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Enhancing environmental literacy through urban technology-based learning. The PULA app case
PublicationThis study addresses the need to enhance environmental literacy, focusing on urban adults through mobile applications, based on the example of PULA app that engages early adopters in gamified pro- environmental activities, offering insights into informal learning. Grounded in 'urban pedagogy,' the study combines semi-structured interviews with 17 application testers and quantitative data analysis, unveiling motivations, user feedback,...
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Fusion-based Representation Learning Model for Multimode User-generated Social Network Content
PublicationAs mobile networks and APPs are developed, user-generated content (UGC), which includes multi-source heterogeneous data like user reviews, tags, scores, images, and videos, has become an essential basis for improving the quality of personalized services. Due to the multi-source heterogeneous nature of the data, big data fusion offers both promise and drawbacks. With the rise of mobile networks and applications, UGC, which includes...
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Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)
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Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
PublicationIn this work, a computationally efficient method based on data driven surrogate models is pro-posed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna acts as a as module that simultaneously pre-filters unwanted sig-nals, and enhances the desired signals at the operating frequency. However, due to a typically large number of design variables of FSS unit elements,...
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Transformational Leadership and Acceptance of Mistakes as a Source of Learning: Poland-USA Cross-Country Study
PublicationThis study explores the influence of transformational leadership on internal innovativeness mediated by mistakes acceptance, including country and industry as factors to be considered and gender and risk-taking attitude as moderators. General findings, primarily based on the US samples (healthcare, construction, and IT industry), confirmed that transformational leadership and internal innovativeness are mediated by mistakes acceptance...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublicationMany studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...
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Wireless Link Selection Methods for Maritime Communication Access Networks—A Deep Learning Approach
PublicationIn recent years, we have been witnessing a growing interest in the subject of communication at sea. One of the promising solutions to enable widespread access to data transmission capabilities in coastal waters is the possibility of employing an on-shore wireless access infrastructure. However, such an infrastructure is a heterogeneous one, managed by many independent operators and utilizing a number of different communication...
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Forewarned Is Forearmed: Machine Learning Algorithms for the Prediction of Catheter-Induced Coronary and Aortic Injuries
PublicationCatheter-induced dissections (CID) of coronary arteries and/or the aorta are among the most dangerous complications of percutaneous coronary procedures, yet the data on their risk factors are anecdotal. Logistic regression and five more advanced machine learning techniques were applied to determine the most significant predictors of dissection. Model performance comparison and feature importance ranking were evaluated. We identified...
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Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
PublicationDue to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for detecting malware...
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An integrated e-learning services management system providing HD videoconferencing and CAA services
PublicationIn this paper we present a novel e-learning services management system, designed to provide highly modifiable platform for various e-learning tools, able to fulfill its function in any network connectivity conditions (including no connectivity scenario). The system can scale from very simple setup (adequate for servicing a single exercise) to a large, distributed solution fit to support an enterprise. Strictly modular architecture...
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Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems
PublicationTe feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others...
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Reinforcement Learning Algorithm and FDTD-based Simulation Applied to Schroeder Diffuser Design Optimization
PublicationThe aim of this paper is to propose a novel approach to the algorithmic design of Schroeder acoustic diffusers employing a deep learning optimization algorithm and a fitness function based on a computer simulation of the propagation of acoustic waves. The deep learning method employed for the research is a deep policy gradient algorithm. It is used as a tool for carrying out a sequential optimization process the goal of which is...
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
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DentalSegmentator: Robust open source deep learning-based CT and CBCT image segmentation
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Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection
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Deep learning model for automated assessment of lexical stress of non-native english speakers
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Machine Learning for Control Systems Security of Industrial Robots: a Post-covid-19 Overview
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The Effectiveness of Using a Pretrained Deep Learning Neural Networks for Object Classification in Underwater Video
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Likelihood of Transformation to Green Infrastructure Using Ensemble Machine Learning Techniques in Jinan, China
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Edu Inspiracje WZiE: Active Learning, czyli o mocy aktywnego przetwarzania informacji
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Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines
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Feature Reduction Using Similarity Measure in Object Detector Learning with Haar-like Features
PublicationThis paper presents two methods of training complexity reduction by additional selection of features to check in object detector training task by AdaBoost training algorithm. In the first method, the features with weak performance at first weak classifier building process are reduced based on a list of features sorted by minimum weighted error. In the second method the feature similarity measures are used to throw away that features...
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User -friendly E-learning Platform: a Case Study of a Design Thinking Approach Use
PublicationE-learning systems are very popular means to support the teaching process today. These systems are mainly used by universities as well as by commercial training centres. We analysed several popular e-learning platforms used in Polish universities and find them very unfriendly for the users. For this reason, the authors began the work on the creation of a new system that would be not only useful, but also usable for students, teachers...
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WEB-CAM AS A MEANS OF INFORMATION ABOUT EMOTIONAL ATTEMPT OF STUDENTS IN THE PROCESS OF DISTANT LEARNING
PublicationNew methods in education become more popular nowadays. Distant learning is a good example when teacher and student meet in virtual environment. Because interaction in this virtual world might be complicated it seems necessary to assure as much methods of conforming that student is still engaged in the process of learning as it is possible. We would like to present assumption that by means of web-cam we will be able to track facial...
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Sperm segmentation and abnormalities detection during the ICSI procedure using machine learning algorithms
Publication(1) About 15-20% of couples struggle with the problem of infertility. 30 to 40% of these cases are caused by abnormalities in the structure and motility of sperm. Sometimes the only possibility for such people is to use the procedure of artificial insemination. CASA systems are used to increase the efficiency of this procedure by selecting the appropriate sperm cell. (2) This paper presents an approach to the sperm classification...
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Dworzec kolejowy - jaki był, jaki jest i jaki być powinien
PublicationJeśli pasażerski transport kolejowy nie ma być traktowany w Polsce jedynie jako transport niszowy, musi się zmienić filozofia myślenia nie tylko w zakresie modernizacji linii kolejowych, zakupu nowego taboru i kształtowania przyjaznych podróżnym rozkładów jazdy, ale również w kierunku poprawy jakości miejsc oczekiwania na pociągi oraz warunków przesiadki z jednych na inne środki transportu. Wzorem innych krajów winien być w Polsce...
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Sport dla wszystkich w przestrzeni miasta. Przegląd rozwiązań przestrzennych i programów aktywizujących w wybranych krajach
PublicationNiniejsze opracowanie dotyczy identyfikacji współczesnych form aktywności fizycznej w przestrzeni miast, powiązanej infrastruktury (urządzeń, obiektów i terenów sportowych) oraz programów aktywizujących i włączających mieszkańców miast, przedstawienie dobrych praktyk i rozwiązań przestrzennych w wybranych krajach świata (m.in. Danii, Holandii, Wielkiej Brytanii, Kanadzie, Australii) oraz możliwości ich implementacji w warunkach...
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Małe i średnie przedsiębiorstwa jako beneficjenci programów operacyjnych Narodowego Planu Rozwoju na lata 2004-2006
PublicationOgraniczny dostęp do środków finansowych jest jedną z największych przszkód w rozwoju przedsiębiorstw sektora MSP. Praca zawiera informacje o dotacjach fiansowych ze środków Unii Europejskiej skierowanych do małych i średnich przedsiębiorstw, ich zainteresowaniu oraz poziomie wydatkowania funduszy unijnych przez tą grupę firm. Ponadto w pracy zawarto analizę przyczyn problemów absorbcji środków unijnych.
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Wpływ sztywności wielkogabarytowego stojaka łożyskowego na warunki pracy elementów tocznych - analiza przy użyciu programów CAD
PublicationW referacie przedstawiono analizę wpływu sztywności stojaka łożyskowego na warunki pracy łożyska. Wyniki analizy porównano z zachowaniem rzeczywistego obiektu.
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Analiza posadowienia słupa powłokowego linii elektroenergetycznej na palach Vibro z wykorzystaniem programu SOFiSTiK 3D
PublicationPrzy wymiarowaniu fundamentu palowego w złożonych warunkach gruntowych należy wymagać zaawansowanej analizy uwzględniającej wszystkie kombinacje sił działających na konstrukcje. W artykule znaleźć można schemat obliczeń, posadowienia fundamentu płytowego na palach Vibro pod słup powłokowy wysokiego napięcia, z wykorzystaniem programu SOFiSTiK 3D. Bazując na standardowych metodach, ale stosując nowe, alternatywne podejścia wyznacza...
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Wartość dodana akademickiej biblioteki „mobilnej” w kontekście programu Erasmus+ na przykładzie Biblioteki Politechniki Gdańskiej
PublicationMobilność wynikająca z założeń programu Erasmus+ w uczelniach i bibliotekach akademickich to wszelkie działania polegające na realizowaniu zagranicznych wyjazdów szkoleniowych w tzw. stażowych miejscach docelowych w krajach-sygnatariuszach programu. Erasmus+ w bibliotekach akademickich umożliwia szeroko pojęte doskonalenie zawodowe, rezultatem którego może być uzyskana wartość dodana uwidoczniona w nabywaniu nowych doświadczeń...
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Wyznaczanie parametrów elektrycznych trakcyjnego układu zasilania dla złożonych warunków ruchu przy wykorzystaniu programu pspice
PublicationRozwój systemów zelektryfikowanego transportu, modernizacje linii kolejowych, rozbudowa sieci komunikacji miejskiej, zakupy nowoczesnego taboru, sprawiają, że konieczne staje się w tych przypadkach dostosowanie i unowocześnienie trakcyjnych systemów zasilania. Wyznaczenie parametrów elektrycznych tych układów metodami analitycznymi, zwłaszcza dla złożonej sytuacji ruchowej, jest trudne. W artykule przedstawiono efektywną metodę...
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Koncepcja programu usprawnienia procesu inżynierii oprogramowania w oparciu o model RUP, TOGAF, PRINCE2, ITIL
PublicationArtykuł przedstawia koncepcję Programu Usprawnienia Procesu (PUP, Program) inżynierii oprogramowania opracowaną w oparciu o model RUP, TOGAF, PRINCE2 oraz ITIL. Koncepcja Programu umożliwiła uzyskanie intelektualnej kontroli nad złożonością zagadnienia oraz stanowiła podstawę dla podjęcia decyzji o uruchomieniu przedsięwzięcia PUP w organizacji sektora publicznego. Artykuł przedstawia zakres i granice Programu, jego strukturę (podział...
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Czy istnieje potrzeba powiązania programu ochrony przeciwpowodziowej ze strategią rozwoju drogi wodnej Dolnej Wisły
PublicationW pracy zawarto koncepcję rozwoju drogi wodnej Wisły na odcinku Bydgoszcz - Gdańsk. Przedstawione są bariery utrudniające rozwój transportu wodnego i przesłanki przemawiające za aktywizacją dróg wodnych w Polsce. Zaproponowano drogę wodną Wisły, jako łańcuch w ogólnopolskiej sieci transportowej z terminalami kontenerowymi na istniejących nabrzeżach w Porcie Gdańsk i nowym terminalem w Bydgoszczy, a także przyłączenie jej do ogólnopolskiej...
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Przedsiębiorczość akademicka w świetle programu rozwoju szkolnictwa wyższego i nauki na lata 2015-2030
PublicationRozwój szkolnictwa wyższego ma istotny wpływ na kształtowanie się przedsiębiorczości akademickiej. Niezbędne są zatem zmiany, które powinny przyczynić się do wzrostu świadomości pracowników badawczych do możliwości komercjalizowania efektów ich pracy. Przedstawiony w opracowaniu zarys programu MNiSW, obejmuje szereg zmian, które mogą mieć wpływ na rozwój przedsiębiorczości akademickiej. Autorzy szeroko opisali oddziaływania i korzyści...
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CLEANING METHODS FOR DUST DEPOSITED ON THE FRONT COVER OF PHOTOVOLTAIC MODULE
PublicationPhotovoltaic modules are one of the renewable energy sources with great potential for application in various regions of the world as well as for different terrain. They are, however, sensitive to external factors, affecting the overall amount of energy generated, such as solar irradiance, shading effects and any form of soil build-up on the front glass cover of solar device. The latter issue happens over a course of weeks, months...
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Emulsion cleaning of metal surfaces contaminated with fresh and oxidizedprinting ink
PublicationWykonano badania usuwania farby drukarskiej, stosowanej do druku offsetowego, za pomocą emulsji terpentyny i hexanu w wodzie. Wyznaczono kinetykę procesu i wytypowano najkorzystniejszy skład emulsji.
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Application of Intelligent Conversational Agents in E-learing Environments
PublicationThe paper concerns intelligent tutoring systems and concentrates on apliaction of virtual mentors in distance learning environments. Different educational agent types are described. The prototype of an agent developed at Gdansk University of Technology is also presented, as well as its internal representation and construction. Benefits of virtual mentors applied in distance learning are also pointed out.
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Lokalny Program Rewitalizacji Miasta Wejherowo na lata 2015 - 2022 : Podsumowanie I etapu prac
PublicationDokument stanowi podsumowanie prac nad analizą wskaźnikową dla miasta Wjherowa
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Evaluation of the implementation of the Meeting Centres Support Program in Italy, Poland, and the UK; exploration of the effects on people with dementia
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THE NATIONAL PROGRAM FOR THE LIQUIDATION OF PESTICIDE WASTE LANDFILLS, SUCCESSES AND UNUSED OPPORTUNITIES – CASE STUDY FROM POLAND
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