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Search results for: LEARNING MANAGEMENT SYSTEMS
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Analysis of an Energy Management System of a Small Plant Connected to the Rural Power System
PublicationThis paper presents the analysis of an energy management system (EMS) implemented to fulfill the requirements of a microgrid (MG) power supply owned by a small industrial company and connected to the rural power system. The main goal of this system is to ensure connection with the existing rural power system in terms of energy exchange, as well as to perform islanding mode operation of the microgrid based on the energy demand of...
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Multiuser Stereoscopic Projection Techniques for CAVE-Type Virtual Reality Systems
PublicationDespite the development of increasingly popular head mounted displays, CAVE-type systems may still be considered one of the most immersive virtual reality systems with many advantages. However, a serious limitation of most CAVE-type systems is the generation of a three-dimensional (3-D) image from the perspective of only one person. This problem is significant because in some applications, the participants must cooperate with each...
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Enterprise Information Systems
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Intelligent Measurement Systems
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Geographic Information Systems
e-Learning CoursesWydział Chemii, studia magisterskie, kierunek Green Technologies and Monitoring
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Intelligent Measurement Systems
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Systems Software Design
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DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors
PublicationWe present a physics-based machine learning approach to predict in vitro transcription factor binding affinities from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations. The method is able to predict affinities obtained with techniques as different as uPBM, gcPBM and HT-SELEX with an excellent performance, much better than existing algorithms. Due to its nature, the method can...
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Investigation of optical properties of Infitec and Active Stereo stereoscopic techniques for CAVE-type virtual reality systems
PublicationIn recent years, many scientific and industrial centres in the world developed virtual reality systems or laboratories. At present, among the most advanced virtual reality systems are CAVE-type (Cave Automatic Virtual Environment) installations. Such systems usually consist of four, five, or six projection screens arranged in the form of a closed or hemi-closed space. The basic task of such systems is to ensure the effect of user...
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FLOOD MANAGEMENT IN URBAN BASINS OF THE CITY OF GDAŃSK
PublicationOver the last years, the City of Gdańsk suffers twice from flash floods. Both events were caused by intense storms which produced significant surface runoff and caused inundation private and cities properties. The first case of July 2001 flood [3], [9] was the turning point for the city authorities, who decide to look close on the flood management in small urban catchments. The aim of research projects was to establish technical...
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Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
PublicationBrain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....
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Evaluating the Cost of Personnel Activities in Cybersecurity Management: A Case Study
PublicationThe methods of cybersecurity costs' evaluation are inclined towards the cost of incidents or technological acquirements. At the same time, there are other, less visible costs related to cybersecurity that require proper recognition. These costs are associated with the actions and the time spent by employees on activities connected to cybersecurity management. The costs form a considerable component of cybersecurity expenditures,...
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Technology-Enhanced Environmental Learning: Co-design of Educational Mobile Application Case
PublicationThe process of co-creating an educational mobile application to support environmentally friendly behavior is presented in this paper. The research material consisted of quantitative data collected on the application during the first testing phase by early adopters. The results suggest that the most frequently used features of the app were related to transport and educational activities. While women tended to split their time between...
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Decision making process using deep learning
PublicationEndüstri 4.0, dördüncü endüstri devrimi veya Endüstriyel Nesnelerin İnterneti (IIoT) olarak adlandırılan sanayi akımı, işletmelere, daha verimli, daha büyük bir esneklikle, daha güvenli ve daha çevre dostu bir şekilde üretim yapma imkanı sunmaktadır. Nesnelerin İnterneti ile bağlantılı yeni teknoloji ve hizmetler birçok endüstriyel uygulamada devrim niteliği taşımaktadır. Fabrikalardaki otomasyon, tahminleyici bakım (PdM – Predictive...
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Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen
PublicationDeep eutectic solvents (DESs) are commonly used in pharmaceutical applications as excellent solubilizers of active substances. This study investigated the tuning of ibuprofen and ketoprofen solubility utilizing DESs containing choline chloride or betaine as hydrogen bond acceptors and various polyols (ethylene glycol, diethylene glycol, triethylene glycol, glycerol, 1,2-propanediol, 1,3-butanediol) as hydrogen bond donors. Experimental...
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Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen
PublicationDeep eutectic solvents (DESs) are commonly used in pharmaceutical applications as excellent solubilizers of active substances. This study investigated the tuning of ibuprofen and ketoprofen solubility utilizing DESs containing choline chloride or betaine as hydrogen bond acceptors and various polyols (ethylene glycol, diethylene glycol, triethylene glycol, glycerol, 1,2-propanediol, 1,3-butanediol) as hydrogen bond donors. Experimental...
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Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm
PublicationIn an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently,...
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Projektowanie zajęć prowadzonych na odległość (10h e-learning)
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Emilia Miszewska dr inż.
PeopleEmilia Miszewska was born in 1986 in Gdańsk. She graduated from Primary School No. 17 in Gdańsk with sports classes specializing in swimming and Janusz Kusociński Sports Secondary School No. 11 in Gdańsk. In 2005, she started uniform master's studies at the Faculty of Civil and Environmental Engineering, which she completed in 2011, defending her diploma thesis entitled "Analysis and development of fire protection guidelines and...
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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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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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INNOVATIVE RUN FLAT SYSTEMS
PublicationOne of the most essential threats to the mobility of wheeled vehicles is their relatively high sensitivity to tire damage. Tires can be damaged as a result at vehicle-targeting fire, after running on a mine or an improvised charge. The purpose of the article is to analyze the current technical solutions in wheeled vehicle tires, allowing for the unobstructed use of the vehicle despite the damage of one or several tires (RUN FLAT...
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Knowledge management driven leadership, culture and innovation success – an integrative model
PublicationPurpose – This article examines the relation between knowledge management (KM) driven leadership, culture and innovation success of knowledge-intensive small and medium sized companies. By building on the previously reported research on leadership, culture, innovation, and knowledge management, we synergistically integrated KM-driven leadership and innovation success while exploring the meditational role of culture in that. Design/methodology/approach...
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Relating Information Culture to Information Policies and Management Strategies
PublicationBusiness and information managers have struggled to meet several challenges in aligning information strategies and business cultures. The consequences of a misalignment or misfit of strategy and culture are well known in business literature, and better guidance on how to better align strategy and culture is needed. This means expanding the puzzle to align business and information cultures, align business and information strategies,...
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MANAGEMENT AND ENVIRONMENT MONITORING 2021/22 - summer
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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MANAGEMENT AND ENVIRONMENT MONITORING 2022/23 - summer
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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MANAGEMENT AND ENVIRONMENT MONITORING 2022/23 - winter
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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Management and Environmental Monitoring 2023/2024 - winter
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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Management and Environmental Monitoring 2024/2025 - winter
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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STRATEGIC MANAGEMENT
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Knowledge Management
e-Learning CoursesBrand knowledge, customer knowledge, relations knowledge, market knowledge, „know how” etc., are intangible assets with great value to the organization today, and to leave these assets unmanaged would seem to be foolish in the extreme. The aim of the course is to explain: who/ why/ how to manage knowledge effectively. Welcome & GOOD LUCK :) Wioleta Kucharska
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STRATEGIC MANAGEMENT
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MANAGEMENT CONCEPTS
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MANAGEMENT CONCEPTS
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Project management
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Management concepts
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Assessment Of the Relevance of Best Practices in The Development of Medical R&D Projects Based on Machine Learning
PublicationMachine learning has emerged as a fundamental tool for numerous endeavors within health informatics, bioinformatics, and medicine. However, novices among biomedical researchers and IT developers frequently lack the requisite experience to effectively execute a machine learning project, thereby increasing the likelihood of adopting erroneous practices that may result in common pitfalls or overly optimistic predictions. The paper...
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An A-Team approach to learning classifiers from distributed data sources
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Deep learning super-resolution for the reconstruction of full wavefield of Lamb waves
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Transfer learning in imagined speech EEG-based BCIs
PublicationThe Brain–Computer Interfaces (BCI) based on electroencephalograms (EEG) are systems which aim is to provide a communication channel to any person with a computer, initially it was proposed to aid people with disabilities, but actually wider applications have been proposed. These devices allow to send messages or to control devices using the brain signals. There are different neuro-paradigms which evoke brain signals of interest...
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Real time operating systems - lectures & exercises, 2023 summer
e-Learning CoursesSupport course for real-time operating systems
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Systematic Management of Simulation State for Multi-Branch Simulations in Simulink
PublicationSystematic simulation is a technique related and motivated by the formal analysis of hybrid dynamic systems. It combines the exhaustive and conservative nature of traditional model checking with numerical simulation for providing efficient algorithms to manage simulations. Multi-branch simulation is the concept advancing simulation efficiency by reducing the number of state transitions. This paper introduces an approach to implement...
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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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Research on GNSS satellite navigation systems
PublicationThis article contains results of research on two GNSS systems, i.e. GPS and GLONASS. Architectures, signal structures and navigation messages of both systems have been described. Some selected investigation results, concerning receiver performance in presence of interference, have been presented.
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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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Planning of the green road system as an element of spatial management in suburbs and small towns
PublicationThe premise for the development of sustainable forms of road infrastructure in small towns is the appropriate plan at an early stage or modifi cation in the case of existing spaces. A multi-directional approach is extremely important, which takes into account the specifi city of the regional (country) road system, availability, and capacity of traffi c network, but also social and environmental factors. Effi cient management...
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Real-time Operating Systems - L&E 2023/4
e-Learning CoursesWebsite supporting the course: "Real-time Operating Systems"
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Developing a Framework for the Implementation of Landscape and Greenspace Indicators in Sustainable Urban Planning. Waterfront Landscape Management: Case Studies in Gdańsk, Poznań and Bristol
PublicationUrban landscape (UL) management and urban greenspace (UG) delivery require effective planning tools. The aim of the study is to develop a conceptual framework for the implementation of ecological, structural and visual landscape and greenspace indicators (LGI) in spatial development of urban areas. The UL and UG management provisions in Poland are identified at various levels of urban planning (local, municipal and regional). Furthermore,...
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Measurements of Spectral Spatial Distribution of Scattering Materials for Rear Projection Screens used in Virtual Reality Systems
PublicationRapid development of computing and visualisation systems has resulted in an unprecedented capability to display, in real time, realistic computer-generated worlds. Advanced techniques, including three-dimensional (3D) projection, supplemented by multi-channel surround sound, create immersive environments whose applications range from entertainment to military to scientific. One of the most advanced virtual reality systems are CAVE-type...
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AUTOMATIC LEARNING OF STRATEGY AND RULES IN CARD GAMES USING IMAGE FROM CAMERA
PublicationBelow work tries to answer a question: if it is possible to replace real human with computer system in social games. As a subject for experiments, card games were chosen, because they require a lot of player interaction (playing and taking cards), while their rules are easy to present in form of clear list of statements. Such a system, should allow real players to play without constant worrying about guiding or helping computer...