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Search results for: LEARNING CULTURE, TRANSFORMATIONAL LEADERSHIP, INNOVATIONS, TACIT KNOWLEDGE SHARING, HIGHER EDUCATION, GENDER STUDIES
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Prototype selection algorithms for distributed learning
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An agent-based framework for distributed learning
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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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An Efficient Framework For Fast Computer Aided Design of Microwave Circuits Based on the Higher-Order 3D Finite-Element Method
PublicationIn this paper, an efficient computational framework for the full-wave design by optimization of complex microwave passive devices, such as antennas, filters, and multiplexers, is described. The framework consists of a computational engine, a 3D object modeler, and a graphical user interface. The computational engine, which is based on a finite element method with curvilinear higher-order tetrahedral elements, is coupled with built-in...
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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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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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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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The Simulation Laboratory Platform Based on Multisim for Electronic Engineering Education
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100 years of the technical university education in Gdańsk 1904-2004.
PublicationNa tle warunków polityczno-społecznych książka przedstawia szczegółowo narodziny i działalność niemieckiej politechniki w Gdańsku w latach 1904-1945 oraz trudne początki Politechniki Gdańskiej po jej uruchomieniu w roku 1945. Angielskojęzyczna wersja książki pozwala na jej upowszechnienie za granicą, gdzie sprawy te nie są znane lub też są naświetlane dość jednostronnie.
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Research and education at Faculty of Mechanical Engineering, Gdańsk University of Technology.
PublicationPrzedstawiono aktualną działalność naukowo-badawczą Wydziału Mechanicznego Politechniki Gdańskiej w 60-lecie jego istnienia - realizowaną w 11 Katedrach w ramach działalności statutowej, badań własnych, projektów badawczych KBN i umów z przemysłem. Omówiono proces dydaktyczny na studiach inżynierskich, magisterskich i doktoranckich. Scharakteryzowano prowadzone specjalności i podano zamierzenia w zakresie umiędzynarodowienia studiów...
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100 years of the technical university education in Gdańsk 1904-2004.
PublicationNa tle warunków polityczno-społecznych książka przedstawia szczegółowo narodziny i działalność niemieckiej politechniki w Gdańsku w latach 1904-1945 oraz trudne początki Politechniki Gdańskiej po jej uruchomieniu w roku 1945. Angielskojęzyczna wersja książki pozwala na jej upowszechnienie za granicą, gdzie sprawy te nie są znane lub też są naświetlane dość jednostronnie.
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The Towers of Hanoi as a Cyber-Physical System Education Case Study
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Statistical process control in software project management : a way to transfer single incident-related knowledge into organizational knowledge
PublicationZaproponowano statystyczne podejście do procesu kontroli zarządzania projektami informatycznymi. Przedstawiono sposób zamiany wiedzy incydentalnej na wiedzę organizacyjną.
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The issues of participation in didactics of design. Case studies
PublicationThis article seeks to present and assess the usefulness of didactic methods aimed at preparing future architects for their role in the process of social participation. The article focuses on [a] a general overview of selected participation methods and tools, along with the examples of their application in the context of spatial management in Poland; [b] an overview of teaching methods used with a view to enhancing participation...
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Effect of ectoine on hydration spheres of peptides–spectroscopic studies
PublicationIn this paper, we use FTIR spectroscopy to characterize the hydration water of ectoine, its interactions with two peptides–diglycine and NAGMA, and the properties of water molecules in the hydration spheres of both peptides changed by the presence of the osmolyte. We found that the interaction of ectoine with the peptide hydration shells had no effect on its own hydration sphere. However, the enhanced hydration layer of the osmolyte...
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Corporate social responsibility practices incomes and outcomes: Stakeholders' pressure, culture, employee commitment, corporate reputation, and brand performance. A Polish–German cross‐country study
PublicationThis study aims to compare employee perception of corporate social responsibility (CSR) practice incomes and outcomes in the construction industry in Poland and Germany. It proposes a model that examines the influence of stakeholder pressure, culture, and CSR practices on company brand performance, reputation, and employee identification. The findings suggest that the structure of relationships varies for project‐managed construction...
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"Daughter and son: a completely different story”? Gender as a moderator of the relationship between sexism and parental attitudes
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The Effects of the Anthropological Race, Gender and Location of Verbal-Pictorial Stimuli on the Usability of Visual Information Conveyance
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Gender perspectives on self‐censorship in organizations: The role of management position, procedural justice and organizational climate
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Relationship between gender and clinical characteristics, associated factors, and hypertension treatment in patients with resistant hypertension
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Measures of Heart Rate Variability in 24-h ECGs Depend on Age but Not Gender of Healthy Children
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Professional activity, gender and disease-related emotions: The impact on parents' experiences in caring for children with phenylketonuria
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Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
PublicationThis paper proposes a novel approach for intelligent fault diagnosis for stroke Diesel marine engines, which are commonly used in on-road and marine transportation. The safety and reliability of a ship's work rely strongly on the performance of such an engine; therefore, early detection of any type of failure that affects the engine is of crucial importance. Automatic diagnostic systems are of special importance because they can...
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Fast and reliable knowledge-based design closure of antennas by means of iterative prediction-correction scheme
PublicationA novel framework for expedited antenna optimization with an iterative prediction-correction scheme is proposed. The methodology is comprehensively validated using three real-world antenna structures: narrow-band, dual-band and wideband, optimized under various design scenarios. The keystone of the proposed approach is to reuse designs pre-optimized for various sets of performance specifications and to encode them into metamodels...
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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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Computational Complexity and Its Influence on Predictive Capabilities of Machine Learning Models for Concrete Mix Design
PublicationThe design of concrete mixtures is crucial in concrete technology, aiming to produce concrete that meets specific quality and performance criteria. Modern standards require not only strength but also eco-friendliness and production efficiency. Based on the Three Equation Method, conventional mix design methods involve analytical and laboratory procedures but are insufficient for contemporary concrete technology, leading to overengineering...
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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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A Text as a Set of Research Data. A Number of Aspects of Data Acquisition and Creation of Datasets in Neo-Latin Studies
PublicationIn this paper, the authors, who specialise in part in neo-Latin studies and the his-tory of early modern education, share their experiences of collecting sources for Open Research Data sets under the Bridge of Data project. On the basis of inscription texts from St. Mary’s Church in Gdańsk, they created 29 Open Research Data sets. In turn, the text of the lectures of the Gdańsk scholar Michael Christoph Hanow, Praecepta de arte...
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A GPU Solver for Sparse Generalized Eigenvalue Problems with Symmetric Complex-Valued Matrices Obtained Using Higher-Order FEM
PublicationThe paper discusses a fast implementation of the stabilized locally optimal block preconditioned conjugate gradient (sLOBPCG) method, using a hierarchical multilevel preconditioner to solve nonHermitian sparse generalized eigenvalue problems with large symmetric complex-valued matrices obtained using the higher-order finite-element method (FEM), applied to the analysis of a microwave resonator. The resonant frequencies of the low-order...
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Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge
PublicationBiomass management in terms of energy consumption optimization has become a recent challenge for developed countries. Nevertheless, the multiplicity of materials and operating parameters controlling energy consumption in wastewater treatment plants necessitates the need for sophisticated well-organized disciplines in order to minimize energy consumption and dissipation. Sewage sludge (SS) disposal management is the key stage of...
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Studies on removal of hydrophobic organics from contaminated soil by washing process
PublicationZbadano efektywność wymywania NAPL ze złoża piaskowego za pomocą roztworów dwóch niejonowych surfaktantów: polioksyetylenowanego alkoholu tłuszczowego (Rokanol NL6) oraz alkiloglukozydu (Triton BG10). Jako NAPL zastosowano dwa węglowodory - dodekan i heksadekan. Oba surfaktanty były relatywnie efektywne w usuwaniu dodekanu. Ze wzrostem stężenia surfaktantu obserwowano wzrost efektywności wymywania dodekanu, jednakże Rokanol NL6...
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A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data
PublicationWhether the computer is driving your car or you are, advanced driver assistance systems (ADAS) come into play on all levels, from weather monitoring to safety. These modern-day ADASs use various assisting tools for drivers to keep the journey safe; these sophisticated tools provide early signals of numerous events, such as road conditions, emerging traffic scenarios, and weather warnings. Many urban applications, such as car-sharing...
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Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France
PublicationCurrent Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change. Efficiently analyzing such data remains an unresolved issue in remote sensing. In classifying land cover, utilizing SITS rather than one image might benefit differentiating across classes because of their varied temporal patterns. The aim...
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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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Synthesis of Fatty Acid Esters of Selected Higher Polyols Over Homogeneous Metallic Catalysts
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Rapid multi-criterial design of microwave components with robustness analysis by means of knowledge-based surrogates
PublicationManufacturing tolerances and uncertainties concerning material parameters, e.g., operating conditions or substrate permittivity are detrimental to characteristics of microwave components. The knowledge of relations between acceptable parameter deviations (not leading to violation of design specifications) and the nominal performance (not considering uncertainties), and is therefore indispensable. This paper proposes a multi-objective...
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Application of fiber optic sensors using Machine Learning algorithms for temperature measurement of lithium-ion batteries
PublicationOptical fiber sensorsusing low-coherence interferometry require processing ofthe output spectrum or interferogramto quickly and accurately determine the instantaneous value of the measured quantity, such as temperature.Methods based on machine learning are a good candidate for this application. The application of four such methods in an optical fiber temperature sensoris demonstrated.Using aZnO-coated...
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Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning
PublicationMethods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...
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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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TRWAŁOŚĆ PROJEKTU ERASMUS+ SP4CE - STUDIUM PRZYPADKU
PublicationProjekt ERASMUS+ Partnerstwo Strategiczne na Rzecz Kreatywności i Przedsiębiorczości (ang. Strategic Partnership for Creativity and Entrepreneurship - SP4CE) dotyczył wdrażania i upowszechniania innowacyjnych rozwiązań wzmacniających współpracę europejską w dziedzinie kształcenia i szkolenia zawodowego. Działania projektowe były związane z promowaniem innowacyjnych praktyk w edukacji oraz szkoleniach poprzez wspieranie spersonalizowanych...
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Towards the 4th industrial revolution: networks, virtuality, experience based collective computational intelligence, and deep learning
PublicationQuo vadis, Intelligent Enterprise? Where are you going? The authors of this paper aim at providing some answers to this fascinating question addressing emerging challenges related to the concept of semantically enhanced knowledge-based cyber-physical systems – the fourth industrial revolution named Industry 4.0.
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Strategy, effectiveness and quality of non-profit organisations as exempli-fied by Polish higher Education Institutions. VATT Governement Inst. Econ. Res. C**2002 [nr] 290 s. 189-202, 7 rys. bibliogr. 20 poz. Discussion papers. Workshopon Studies for Nordthern. Kalastajatorrpa,30-31 May 2002. Strategia, efektywność i jakość organizacji non-profit na przykładzie pol- skich wyższych uczelni.
PublicationW pracy wskazano, że do oceny jakości i efektywności organizacji niedochodo-wych zasadne jest wykorzystanie metod stosowanych w biznesie. W szczególno-ści zaproponowano zastosowanie metody balanced scorecard, benchmarkingu dooceny efektywności i jakości funkcjonowania instytucji szkolnictwa wyższego.Wskazano na możliwość wykorzystaniania analizy SWOT do opracowania strategiiuczelni.
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Glioma cells showing IDH1 mutation cannot be propagated in standard cell culture conditions
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Persistence of bacteriophage T4 in a starved Escherichia coli culture: evidence for the presence of phage subpopulations
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Electroporation with Cisplatin against Metastatic Pancreatic Cancer:In VitroStudy on Human Primary Cell Culture
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Organizational culture and coopetition: An exploratory study of the features, models and role in the Polish Aviation Industry
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Cell Wall Epitopes and Endoploidy as Reporters of Embryogenic Potential in Brachypodium Distachyon Callus Culture
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THE EFFECTIVENESS OF DISINFECTION METHODS ON GERMINATION OF GOJI SEEDS (Lycium barbarum L.) IN IN VITRO CULTURE
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Antimicrobial Activity of Selected Antimicrobial Peptides Against Planktonic Culture and Biofilm of Acinetobacter baumannii
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