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Wyniki wyszukiwania dla: PROBLEM-BASED LEARNING
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Strategic Flexibility as a Mediator in Relationship between Managerial Decisions and Organizational Learning: Ambidexterity Perspective
PublikacjaPurpose: The purpose of the article is to determine strategic flexibility in the relationship between managerial decisions and organizational learning. The analyses are conducted in the ambidexterity convection. Design/Methodology/Approach: The study was conducted at a textile company. The company is a leader in the textile recycling industry in Poland. Empirical data were collected using the PAPI technique. The survey questionnaire...
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Dziennikarz jako specjalista public relations - problem tożsamości czy nadużycie etyczne?
PublikacjaArtykuł analizuje często występujące w Polsce zjawisko łączenia zawodu dziennikarza i specjalisty public relations. Czyni to rozpatrując problem z p punktu widzenia etyki dziennikarskiej, rzetelności pracy specjalisty public relations i opinii publicznej, jej prawa do rzetelnej informacji.
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Distributed Learning with Data Reduction
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Deep Learning Approaches in Histopathology
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e-Learning in Tourism Education
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Remote learning among students with and without reading difficulties during the initial stages of the COVID-19 pandemic
PublikacjaThis article presents the results of a survey on yet under-researched aspects of remote learning and learning difficulties in higher education during the initial stage (March – June 2020) of the COVID-19 pandemic. A total of 2182 students from University of Warsaw in Poland completed a two-part questionnaire regarding academic achievements in the academic year 2019/2020, living conditions and stress related to learning and pandemic,...
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Grafo-mania, czyli rzecz o grafach i algorytmach. Problem 8 hetmanów
PublikacjaW eseju spojrzano na problem 8 hetmanów na szachownicy z punktu widzenia teorii grafów
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Perspektywy wykorzystania technologii internetowych typu E-learning w dydaktyce szkół wyższych.
PublikacjaArtykuł dotyczy nauczania przez Internet na poziomie uniwersyteckim. Zaprezentowany został model wirtualnego uniwersytetu, który obejmuje materiały dydaktyczne, komunikację, egzaminy i organizację. Artykuł koncentruje się na technicznych zagadnieniach. Przeanalizowano także wpływ wykorzystania technologii E-learning na różne aspekty życia wyższej uczelni.
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Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City
PublikacjaData from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...
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Problem reakcji krzyżowych w immunodiagnostyce na przykładzie neosporozy i toksoplazmozy
PublikacjaW niniejszej pracy przedstawiono problem reakcji krzyżowych występujących w immunodiagnostyce chorób zakaźnych. Zagadnienie opisano szerzej na przykładzie dwóch blisko spokrewnionych pasożytów należących do typu Apicomplexa - Neospora caninum i Toxoplasma gondii. Zaprezentowano także, sposoby ulepszania testów wykorzystywanych w diagnostyce neosporozy i toksoplazmozy u zwierząt.
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Solving the Problem of Dynamic Adaptability of Artificial Intelligence Systems that Control Dynamic Technical Objects
PublikacjaThis paper investigates the increase in the response speed and stability of artificial intelligence systems that control dynamic technical objects. The problem of calculating the optimal time of switching an artificial intelligence system between software classes by the criterion of the rigidity degree of the model of a control object is considered. The solution of this problem is proposed for the general case of the control object...
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A Canonical Switched Capacitor DC-DC Converter. A look at how the historical SC synthesis problem is getting solved
PublikacjaWe reconsider a solution to the historical problem in switched capacitor (SC) DC-DC converter synthesis. Specifically, we retackle the problem of constructing an SC twophase network realizing arbitrary voltage conversion ratio within rational bounds defined. Theoretical foundations are available in our earlier research [3] where a nonconstructive proof of existence was given. We briefly review and comment on known circuit solutions...
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Real and Virtual Instruments in Machine Learning – Training and Comparison of Classification Results
PublikacjaThe continuous growth of the computing power of processors, as well as the fact that computational clusters can be created from combined machines, allows for increasing the complexity of algorithms that can be trained. The process, however, requires expanding the basis of the training sets. One of the main obstacles in music classification is the lack of high-quality, real-life recording database for every instrument with a variety...
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A FPTAS for minimizing total completion time in a single machine time-dependent scheduling problem
PublikacjaIn this paper a single machine time-dependent scheduling problem with total completion time criterion is considered. There are given n jobs J1,…,Jn and the processing time pi of the ith job is given by pi=a+bisi, where si is the starting time of the ith job (i=1,…,n),bi is its deterioration rate and a is the common base processing time. If all jobs have deterioration rates different and not smaller than a certain constant u>0,...
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublikacjaLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
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Love your mistakes!—they help you adapt to change. How do knowledge, collaboration and learning cultures foster organizational intelligence?
PublikacjaPurpose: The study aims to determine how the acceptance of mistakes is related to adaptability to change in a broad organizational context. Therefore it explores how knowledge, collaboration, and learning culture (including “acceptance of mistakes”) might help organizations overcome their resistance to change. Methodology: The study uses two sample groups: students aged 18–24 (330 cases) and employees aged >24 (326 cases) who work...
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Low-Cost and Precise Automated Re-Design of Antenna Structures Using Interleaved Geometry Scaling and Gradient-Based Optimization
PublikacjaDesign of contemporary antennas is an intricate endeavor involving multiple stages, among others, tuning of geometry parameters. In particular, re-designing antennas to different operating frequencies, makes parametric optimization imperative to ensure the best achievable system performance. If the center frequency at the current design is distant from the target one, local tuning methods generally fail, whereas global algorithms...
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Technology-Enhanced Environmental Learning: Co-design of Educational Mobile Application Case
PublikacjaThe 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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The effects of relational and psychological capital on work engagement: the mediation of learning goal orientation
PublikacjaPurpose – This paper proposes a research model in which learning goal orientation (LGO) mediates the impacts of relational capital and psychological capital (PsyCap) on work engagement. Design/methodology/approach – Data obtained from 475 managers and employees in the manufacturing and service industries in Poland were utilized to assess the linkages given above. Common method variance was controlled by the unmeasured latent method...
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Unsupervised Learning for Biomechanical Data Using Self-organising Maps, an Approach for Temporomandibular Joint Analysis
PublikacjaWe proposed to apply a specific machine learning technique called Self-Organising Maps (SOM) to identify similarities in the performance of muscles around human temporomandibular joint (TMJ). The performance was assessed by measuring muscle activation with the use of surface electromyography (sEMG). SOM algorithm used in the study was able to find clusters of data in sEMG test results. The SOM analysis was based on processed sEMG...
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance
PublikacjaIdentification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing event-related intracranial EEG (iEEG) responses from 115 patients performing a free recall verbal memory task. Our approach employed new interpretable...
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Nanotechnologia w architekturze – korzyści i problemy wynikające z zastosowania nanotechnologii w aspekcie cyklu życia budynku
PublikacjaDynamiczny rozwój technologii zawsze odgrywał ważną rolę w procesie kształtowania architektury. Postęp w dziedzinie inżynierii materiałowej już od Rewolucji Przemysłowej pozwalał na osiąganie co raz bardziej skomplikowanych i jednocześnie wytrzymałych konstrukcji budynków. Obecnie, w dziedzinie architektury, zaczyna pojawiać się pojęcie nanotechnologii, która pozwala zmieniać stosowane materiały w bardziej wydajne i odporne....
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An unorthodox view on the problem of tracking facial expressions
PublikacjaRecent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis...
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An unorthodox view on the problem of tracking facial expressions
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Halitosis vs tonsil stones: is this an otolaryngological problem?
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Problem zastania wody w instalacjach wodociągowych
PublikacjaZmiany jakości wody w warunkach bezruchu. Konsekwencje zastania dla dystrybucji. Przeciwdziałanie
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Prenatal exposure to substance of abuse: A worldwide problem
PublikacjaSubstance abuse during pregnancy is an important public health issue affecting the mother and the growing infant. Preterm labor, miscarriage, abruption and postpartum hemorrhage are obstetric complications which have been associated with women who are dependent on abused substances. Moreover, women are also at an increased risk of medical problems such as poor nutrition, anemia, urinary tract infections as well as sexually transmitted...
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An unorthodox view on the problem of tracking facial expressions
PublikacjaRecent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis...
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Problem efektywności banków w literaturze przedmiotu
PublikacjaEfektywność banku jest jednym podstawowych miar oceny jej działalności. Dlatego tak ważnym jest analizowanie jej poziomu, jak również czynników oddziałujących zarówno pozytywnie, jak i negatywnie. Celem artykułu jest przeprowadzenie analizy literatury związanej z problemem. Artykuł został podzielony na trzy części. Pierwszą poświecono przedstawieniu różnych koncepcji pojęcia efektywność. W drugiej część omówiono metody i techniki...
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Dyskalkulia – „szansa" czy problem przyszłorocznych maturzystów
PublikacjaCoraz częściej mówi się o specyficznych trudnościach w uczeniu się czytania (dysleksja), poprawnej pisowni (dysortografia) i dbaniu o właściwy poziom graficzny pisma (dysgrafia). Określenie specyficzne wskazuje na wąski zakres trudności w uczeniu się i ich szczególny charakter. Według prowadzonych badań ocenia się, że specyficzne trudności w nauce dotyczą 10–15% populacji wszystkich uczniów (w międzynarodowej klasyfikacji chorób...
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The inverse problem in a hyperbolic section radial compressor.
PublikacjaNa przykładzie wirnika sprężarki porównano wyniki rozwiązania zadania odwrotnego w ramach modelu 2D prowadzącego do kształtu wirnika, z zadaniem prostym, w ramach modelu 3D, dla skonstruowanego wirnika na bazie modelu 2D.Zasadniczym celem było uzyskanie równomiernych (bez oderwań) pól parametrów w obrębie wirnika sprężarki. Pokazano jak zmiana obrysu wirnika, z klasycznego kształtu stożkowego na hiperboliczny, wpłynąć może na...
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Problem opisu dynamiki recyrkulacji w reaktorach.
PublikacjaOmówiono aktualne problemy związane z kwestią recyrkulacji w obiektach oczyszczalni ścieków. Wskazano na znaczny wzrost stosowanych stopni recyrkulacji w ostatnim czasie i przeanalizowano jego przypuszczalne przyczyny oraz konsekwencje. Omówiono wyniki badań przeprowadzonych w laboratoryjnym modelu osadnika.
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Information Processing and Fechner’s Problem as a Choice of Arithmetic
PublikacjaFechner’s law and its modern generalizations can be regarded as manifestations of alternative forms of arithmetic, coexisting at stimulus and sensation levels. The world of sensations may be thus described by a generalization of the standard mathematical calculus.
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Problem energooszczedności i termoizolacyjności budynków mieszkalnych
PublikacjaW artykule omówiono przyczyny zawilgocenia budynków mieszkalnych mimo spełnienia kryteriów energooszczędności i termoizolacyjności. Wyniki analizy cieplno-wilgotnościowej przeprowadzono w oparciu o program MES.
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Automated detection of pronunciation errors in non-native English speech employing deep learning
PublikacjaDespite 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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Building the Learning Environment for Sustainable Development: a Co-creation approach
PublikacjaEducation for sustainable development supports the improvement of knowledge, skills, attitudes and behaviors related to global challenges such as climate change, global warming and environmental degradation, among others. It is increasingly taking place through projects based on information and communication technologies. The effectiveness of the actions taken depends not only on the quality of the project activities or the...
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AUTOMATIC LEARNING OF STRATEGY AND RULES IN CARD GAMES USING IMAGE FROM CAMERA
PublikacjaBelow 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...
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Classifying Emotions in Film Music - A Deep Learning Approach
PublikacjaThe paper presents an application for automatically classifying emotions in film music. A model of emotions is proposed, which is also associated with colors. The model created has nine emotional states, to which colors are assigned according to the color theory in film. Subjective tests are carried out to check the correctness of the assumptions behind the adopted emotion model. For that purpose, a statistical analysis of the...
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Parallelisation of genetic algorithms for solving university timetabling problems
PublikacjaAlgorytmy genetyczne stanowią ważną metodę rozwiązywania problemów optymalizacyjnych. W artykule skupiono się na projekcie równoległego algorytmu genetycznego pozwalającego uzyskiwać uniwersyteckie rozkłady zajęć, spełniające zarówno twarde jak i miękkie ograniczenia. Czytelnika wprowadzono w niektóre znane sposoby zrównoleglenia, przedstawiono również podejście autorów, ykorzystujące MPI. Przyjęto strukturę zarządzania opartą...
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Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various Machine learning techniques
PublikacjaMachine Learning (ML) method is widely used in engineering applications such as fracture mechanics. In this study, twenty different ML algorithms were employed and compared for the prediction of the fracture toughness and fracture load in modes I, II, and mixed-mode (I-II) of various materials, including fibre-reinforced concrete, cement mortar, sandstone, white travertine, marble, and granite. A set of 401 specimens of “Brazilian...
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MACHINE LEARNING SYSTEM FOR AUTOMATED BLOOD SMEAR ANALYSIS
PublikacjaIn this paper the authors propose a decision support system for automatic blood smear analysis based on microscopic images. The images are pre-processed in order to remove irrelevant elements and to enhance the most important ones - the healthy blood cells (erythrocytes) and the pathologic (echinocytes). The separated blood cells are analyzed in terms of their most important features by the eigenfaces method. The features are the...
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Evaluation of Readiness of IT Organizations to Agile Transformation Based on Case-Based Reasoning
PublikacjaNowadays 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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Inwentaryzacja miejsc zdarzeń kryminalnych przy wykorzystaniu naziemnego skaningu laserowego
PublikacjaInwentaryzacja miejsc zdarzeń kryminalnych przy wykorzystaniu naziemnego skaningu laserowego jest rozwiązaniem często spotykanym przy w rozwiniętych krajach Europy i Ameryki Północnej. W Polsce znajdujemy pierwsze zastosowania do rejestrowania zdarzeń kryminalnych o szczególnym stopni skomplikowania lub związanych z nieprzeciętną liczbą ofiar. Zasadniczo jednak skaning laserowy stosuje się w sprawach o zabójstwo, a rzadko w rozwiązaniach...
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublikacjaIn this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern,...
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An agent-based approach to ANN training
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Iterative learning approach to active noise control of highly autocorrelated signals with applications to machinery noise
PublikacjaThis paper discusses the design and application of iterative learning control (ILC) and repetitive control (RC) for high modal density systems. Typical examples of these systems are structural and acoustical systems considered in active structural acoustic control (ASAC) and active noise control (ANC) applications. The application of traditional ILC and RC design techniques, which are based on a parametric system model, on systems...
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Prototype selection algorithms for distributed learning
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Some aspects of blended-learning education
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Note on universal algoritms for learning theory
PublikacjaW 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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E-learning in tourism and hospitality: A map
PublikacjaThe impact of information and communication technologies (ICT) on tourism and hospitality industries has been widely recognized and investigated as a one of the major changes within the domains in the last decade: new ways of communicating with prospective tourists and new ways of purchasing products arisen are now part of the industries’ everyday life. Poor attention has been paid so far to the role played by new media in education...