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Search results for: project-based learning
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Greencoin Project - open phase application dataset
Open Research DataThis dataset captures detailed transactional records of the Greencoin project, focusing on rewarding pro-environmental behavior in the Tricity region of Poland. It includes data on user interactions such as quiz completions, challenges, and other sustainable actions, with corresponding timestamps and wallet balances. This data supports research on gamification...
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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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Extra-curricular project-oriented education in optoelectronics in the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology, Poland
PublicationProject-oriented education constitutes a key part of the curriculum in the Faculty of Electronics, Telecommunications and Informatics of Gdańsk University of Technology (Gdańsk Tech), Poland. Students on the Engineer and Master of Science level studies take part in several projects, both individually and in teams. In addition to compulsory activities, students have the opportunity to take part in the activities of student scientific...
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Project management for the construction sector in the field of foundation of buildings in complex conditions of the subsoil
PublicationAutorzy: Gwóźdź-Lasoń Monika, Kohutek...
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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublicationBiochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
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REVITALIZATION PROJECT OF SLUM TRANSFORMATION: A CASE STUDY HAY-AL TANAK,BEIRUT,LEBANON
PublicationSlums are global phenomena that exist as a solution for those who couldn’t afford a house. This phenomenon is growing accompanying the rapid urbanization and the growth of the urban population, three-quarter of the world population anticipated to live in an urban environment by 2050 (Avis, 2016, p. 57). This paper reviews slum's evaluation of the revitalization project for one of the poorest slums in Beirut called Hay-Al Tanak....
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Elective Project - Project, City, and Society
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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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Multimedia industrial and medical applications supported by machine learning
PublicationThis article outlines a keynote paper presented at the Intelligent DecisionTechnologies conference providing a part of the KES Multi-theme Conference “Smart Digital Futures” organized in Rome on June 14–16, 2023. It briefly discusses projects related to traffic control using developed intelligent traffic signs and diagnosing the health of wind turbine mechanisms and multimodal biometric authentication for banking branches to provide...
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Smart Cities System Design Method Based on Case Based Reasoning
PublicationThe objective of this paper is to present the results of research carried out to develop a design method for Smart Cities systems. The method is based on the analysis of design cases of Smart Cities systems in cities, the selection of the city appropriate to the requirements for implementation and application. The Case Based Reasoning method was used to develop the proposed design methodology, along with mechanisms of the conversion...
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Position Estimation in Mixed Indoor-Outdoor Environment Using Signals of Opportunity and Deep Learning Approach
PublicationTo improve the user's localization estimation in indoor and outdoor environment a novel radiolocalization system using deep learning dedicated to work both in indoor and outdoor environment is proposed. It is based on the radio signatures using radio signals of opportunity from LTE an WiFi networks. The measurements of channel state estimators from LTE network and from WiFi network are taken by using the developed application....
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Work and formal retirement age - opinions of SWE employees participating in the Best Agers Lighthouses International Project
PublicationThe paper presents selected results of studies carried out within the framework of the international project Best Agers Lighthouses – Strategic Age Management for SME in the Baltic Sea Region, related to the assessment of the opportunities to continue working beyond the retirement age in the opinion of workers.
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Elective Project II (Erasmus) sem. 6
e-Learning CoursesThe elective project II class is dedicated to daylight analysis within the built environment.
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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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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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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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Computational Analysis of Transformational Organisational Change with Focus on Organisational Culture and Organisational Learning: An Adaptive Dynamical Systems Modeling Approach
PublicationTransformative Organisational Change becomes more and more significant both practically and academically, especially in the context of organisational culture and learning. However computational modeling and formalization of organisational change and learning processes are still largely unexplored. This chapter aims to provide an adaptive network model of transformative organisational change and translate a selection of organisational...
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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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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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Simulation model for resource-constrained construction project
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Review of EuCARD project on accelerator infrastructure in Europe
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Stakeholder identification as a determinant of sustainable project management
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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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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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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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A machine learning approach to classifying New York Heart Association (NYHA) heart failure
PublicationAccording to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional...
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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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Speed estimation of a car at impact with a W-beam guardrail using numerical simulations and machine learning
PublicationThis paper aimed at developing a new method of estimating the impact speed of a passenger car at the moment of a crash into a W-beam road safety barrier. The determination of such a speed based on the accident outcomes is demanding, because often there is no access to full accident data. However, accurate determination of the impact speed is one of the key elements in the reconstruction of road accidents. A machine learning algorithm...
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Computational Simulation of the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning
PublicationThis chapter investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organisational culture results in better mistake management and thus better organisational learning, (2) Effective organisational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader’s behavior must align for the best learning...
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Group project NT2-eng. 2024
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, sem. 3. The aim of the course is to prepare students for teamwork by implementing a project involving the analysis of the problem by the team, presenting a proposal to solve the problem, conducting research/tests and preparing a report.
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Deep learning-enabled integration of renewable energy sources through photovoltaics in buildings
PublicationInstalling photovoltaic (PV) systems in buildings is one of the most effective strategies for achieving sustainable energy goals and reducing carbon emissions. However, the requirement for efficient energy management, the fluctuating energy demands, and the intermittent nature of solar power are a few of the obstacles to the seamless integration of PV systems into buildings. These complexities surpass the capabilities of rule-based...
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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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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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Wisdom from Experience Paradox: Organizational Learning, Mistakes, Hierarchy and Maturity Issues
PublicationOrganizations often perceive mistakes as negligence and low-performance indicators, yet they can be a precious learning resource. However, organizations cannot learn from mistakes if they have not accepted them. This study aimed to explore how organizational hierarchy and maturity levels influence the relationship between mistakes acceptance and the ability to change. A sample composed of 380 Polish employees working in knowledge-driven...
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Visual Content Learning in a Cognitive Vision Platform for Hazard Control (CVP-HC)
PublicationThis work is part of an effort for the development of a Cognitive Vision Platform for Hazard Control (CVP-HC) for applications in industrial workplaces, adaptable to a wide range of environments. The paper focuses on hazards resulted from the nonuse of personal protective equipment (PPE). Given the results of previous analysis of supervised techniques for the problem of classification of a few PPE (boots, hard hats, and gloves...
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Optimized Deep Learning Model for Flood Detection Using Satellite Images
PublicationThe increasing amount of rain produces a number of issues in Kerala, particularly in urban regions where the drainage system is frequently unable to handle a significant amount of water in such a short duration. Meanwhile, standard flood detection results are inaccurate for complex phenomena and cannot handle enormous quantities of data. In order to overcome those drawbacks and enhance the outcomes of conventional flood detection...
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Process engineering and chemical equipment - project -2022/23
e-Learning CoursesProcess engineering and chemical equipment - project
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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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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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Architectural and Urban Project I 2024/25
e-Learning CoursesLONDON RETROFIT: WESTMINSTER SITE ALLOCATION. The project for this semester will involve collaborating with the City of London (Westminster part) to conduct design research on the development, architecture, and urban revitalization of the central area around Paddington Station. This project is in partnership with the Bartlett School of Planning at University College London (UCL) and the University of Westminster.
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Bimodal deep learning model for subjectively enhanced emotion classification in films
PublicationThis research delves into the concept of color grading in film, focusing on how color influences the emotional response of the audience. The study commenced by recalling state-of-the-art works that process audio-video signals and associated emotions by machine learning. Then, assumptions of subjective tests for refining and validating an emotion model for assigning specific emotional labels to selected film excerpts were presented....
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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...