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Search results for: blended e-learning
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Bending analysis of functionally graded nanoplates based on a higher-order shear deformation theory using dynamic relaxation method
PublicationIn this paper, bending analysis of rectangular functionally graded (FG) nanoplates under a uniform transverse load has been considered based on the modified couple stress theory. Using Hamilton’s principle, governing equations are derived based on a higher-order shear deformation theory (HSDT). The set of coupled equations are solved using the dynamic relaxation (DR) method combined with finite difference (FD) discretization technique...
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Optical activity and electro-optic effect of l-arginine doped KDP single crystals
PublicationWe have used the modified polarimetric methods to study optical activity (OA) in the potassium dihydrogenphosphate (KDP) crystals doped with 0.7, 1.4 and 3.8 wt% L-arginine (L-arg) amino acid. Crystals were grown by the temperature reduction method. Small changes of the absolute eigen waves ellipticity and OA values in doped crystals were noted. We have experimentally determined the signs of OA in the [1 00] and [01 0] directions...
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Nonlocalized thermal behavior of rotating micromachined beams under dynamic and thermodynamic loads
PublicationRotating micromachined beams are one of the most practical devices with several applications from power generation to aerospace industries. Moreover, recent advances in micromachining technology have led to huge interests in fabricating miniature turbines, gyroscopes and microsensors thanks to their high quality/reliability performances. To this end, this article is organized to examine the axial dynamic reaction of a rotating...
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Investigation on polypropylene friction stir joint: effects of tool tilt angle on heat flux, material flow and defect formation
PublicationTool tilt angle (TTA) is a critical factor that can control material flow in polymeric materials' friction stir joining (FSJ). This study selected a TTA range between 0° to 4° for FSJ of polypropylene (PP) polymer sheet. A modified computational fluid dynamic (CFD) technique was implemented to gain a deep understanding of the effects of TTA during FSJ of PP. The PP joint's internal flow, defect formation, heat generation, and tensile...
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La vera vedova die vivare a Dio, e morire al mondo”. Le aspettative di Bernardino da Siena e Gilberto di Tournai riguardo al comportamento e ai doveri delle vedove,
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LOCAL E-MARKETING AND PHARAMACY SELECTION PROCESS AMONG CURRENT AND PROSPECTIVE CONSUMERS
PublicationWORK OBJECTIVES: To examine whether and to what extent a company's presence in Google Search mobile results, and Google Maps service search results, affects pharmacies' acquisition of new consumers RESEARCH QUESTIONS: Does the presence of pharmacies in Google MyBusiness increase the number of their customers ? Is the increase in the...
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Wpływ oleju i emulsji HFA-E na straty i bilans mocy w hydraulicznych silnikach satelitowych
PublicationOlej i emulsja oleju w wodzie typu HFA-E to ciecze różniące się lepkością, gęstością i własnościami smarnymi. W związku z tym zasilając hydrauliczne silniki satelitowe tymi cieczami obserwuje się różnice w stratach hydraulicznych, objętościowych i mechanicznych. Straty te mają wpływ na sprawność przetwarzania energii hydraulicznej w mechaniczną, a tym samym na bilans mocy silnika.
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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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Synthesis and transport studies of model dipeptides with modified n-terminal amino groups into e. coli k12 mutant strains
Publicationotrzymano na drodze syntezy chemicznej kilka modelowych dipeptydów zawierających n-terminalna guanidynę oraz betainę. zbadano transport tych peptydów do komorek e. coli k12, posiadających zróżnicowane systemy transportowe. wyniki badań potwierdziły brak transportu do komórek bakteryjnych z wykorzystaniem permeaz peptydowych. dodatnio naładowana i silnie polarna grupa aminowa uniemożliwia efektywny transport tych związków do komórek...
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
PublicationCirculating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...
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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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Unsupervised Learning for Biomechanical Data Using Self-organising Maps, an Approach for Temporomandibular Joint Analysis
PublicationWe 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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Multimodal learning application with interactive animated character. [Multimodalna aplikacja edukacyjna wykorzystująca interaktywną animowaną postać]
PublicationThe aim of this study is to design a computer application that may assist teachers and therapists in multimodal manner in their work with impaired or disabled children. The application can be operated in many different ways, giving to a child with special educational needs a possibility to learn and train many skills or treat speech disorders. The main stress in this research is on the creation of animated character that will serve...
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Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models
PublicationHigh-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...
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Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
PublicationIn recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have gained significant attention due to their exceptional properties, including lightweight construction, high specific strength, and stiffness. These attributes have found application in structures, infrastructures, wind power equipment, and various advanced civil products. However, the production process and the extensive testing required for...
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Degradowalne poli(estrouretany) z cykloalifatycznego diizocyjanianu i kopoliestrodioli z L-laktydu i poli(E-kaprolaktono)diolu
PublicationOpisano syntezę liniowych poli(estrouretanów) (PESU) z 4,4´-diizocyjanianudicykloheksylenometanu, 1,4-butanodiolu i kopoliestrodioli z L-laktydu (LA)i poli(E-kaprolaktono)diolu (PCL, Mn 560g/mol). Kopoliestrodiole o Mn 760,1250 i 3390 g/mol otrzymano przy trzech stosunkach masowych PLA i PCL w obecności oktanianu Sn(II). PESU otrzymane przy różnych stosunkach molowych komponentów scharakteryzowano przez pomiary twardości, wytrzymałości...
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Learning Communities-International Journal of Learning in Social Contexts
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BADANIA EWALUACYJNE TRANZYSTORA 650 V E-HEMT GAN DO ZASTOSOWAŃW WYSOKOSPRAWNYCH PRZEKSZTAŁTNIKACH DC/DC
PublicationTematem artykułu są badania wysokonapięciowegotranzystora z azotku galu typu E-HEMT w aplikacji przekształtnikaobniżającego napięcie typu buck. W pracy przedstawiono krótkącharakterystykę i zalety półprzewodników szerokoprzerwowych,a także opis tranzystora GS66508P-E03 w obudowie do montażupowierzchniowego (SMD). Następnie poruszono problemchłodzenia łącznika mocy SMD i przeprowadzono badanieporównawcze dwóch układów chłodzenia....
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Electrophoretically Deposited Chitosan/Eudragit E 100/AgNPs Composite Coatings on Titanium Substrate as a Silver Release System
PublicationDue to the possibility of bacterial infections occurring around peri-implant tissues, it is necessary to provide implant coatings that release antibacterial substances. The scientific goal of this paper was to produce by electrophoretic deposition (EPD) a smart, chitosan/Eudragit E 100/silver nanoparticles (chit/EE100/AgNPs) composite coating on the surface of titanium grade 2 using different deposition parameters, such as the...
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Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
PublicationHigh-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless and environmentally friendly material. It has recently received a substantial amount of interest not only due to the potential it has for being used instead of ordinary concrete but also owing to the concerns associated with climate change, sustainability, reduction of CO2 emissions, and energy consumption. The characteristics and amounts of the...
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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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Relationships between concentrations of selected organohalogen contaminants and thyroid hormones and vitamins A, E and D in Faroese pilot whales
PublicationPilot whales (Globicephala melas) from the Faroe Islands, North-East Atlantic, have high body concentrations of organohalogenated compounds (OHCs), such as polychlorinated biphenyls (PCBs), organochlorinated pesticides (OCPs) and brominated flame retardants (BFRs). The aim of the present study was to examine if and to what extent blood plasma and liver concentrations of several groups of these OHCs are related to concentrations...
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Zastosowanie aplikacji internetowych i e-learningu w zarządzaniu kompetencjami: studium przypadku.
PublicationCel. Integracja efektywnego zarządzania procesami pracy i wykorzystania potencjału zasobów ludzkich warunkuje rozwój organizacji. Jest to szczególnie istotne w organizacjach publicznych, w których wyniki pracy nie zawsze są zgodne z oczekiwanymi standardami. Prezentowana praca stanowi studium przypadku zarządzania kompetencjami w administracji publicznej z wykorzystaniem narzędzi informatycznych na przykładzie polskiej Policji. Metoda....
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Project-Based Learning as a Method for Interdisciplinary Adaptation to Climate Change—Reda Valley Case Study
PublicationThe challenges of the global labour market require university authorities to extend traditional forms of education into more innovative and effective solutions. Project-based learning (PjBL) is one of highly effective methods for acquiring knowledge and teaching “soft” skills to future employees. This article describes an experimental use of PjBL at a university with a long history of teaching based on traditional methods—the Gdansk...
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Deep-Learning-Based Precise Characterization of Microwave Transistors Using Fully-Automated Regression Surrogates
PublicationAccurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging endeavor due to complex relationships between transistor characteristics and its designable parameters, biasing conditions, and frequency. Artificial neural network (ANN)-based methods, including deep learning...
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Olgun Aydin dr
PeopleOlgun Aydin finished his PhD by publishing a thesis about Deep Neural Networks. He works as a Principal Machine Learning Engineer in Nike, and works as Assistant Professor in Gdansk University of Technology in Poland. Dr. Aydin is part of editorial board of "Journal of Artificial Intelligence and Data Science" Dr. Aydin served as Vice-Chairman of Why R? Foundation and is member of Polish Artificial Intelligence Society. Olgun is...
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublicationWetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...
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Iterative learning approach to active noise control of highly autocorrelated signals with applications to machinery noise
PublicationThis 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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Projektowanie i budowa elektroenergetycznych linii kablowych w aspekcie założeń nowelizowanej normy pn-76/e-05125.
PublicationCelem niniejszego referatu jest próba odpowiedzi na najczęstsze uwagi i opinie otrzymane w wyniku dyskusji nad nowelizowaną normą PN-76/E-05125 " Elektroenergetyczne i sygnalizacyjne linie kablowe. Projektowanie i budowa. " oraz na uwagi wynikające z analizy rozwiązań stosowanych w praktyce i prezentowanych na konferencjach krajowych z zakresu techniki kablowej.W dalszej części referatu w skróconej formie przedstawiono...
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Poziom rozwoju e-administracji w Polsce w ujęciu regionalnym: ocena i wnioski dla dalszych działań
PublicationGłównym celem artykułu jest ocena porównawcza stanu wdrożenia elektronicznej administracji w poszczególnych województwach Polski. Aby zrealizować ten cel stworzono ranking osiągnięć poszczególnych województw na podstawie wyników benchmarkingu systemów informatycznych jednostek administracji samorządowej. W dalszej części pracy otrzymane wyniki zostały porównane z innymi aktualnymi badaniami krajowymi z tego zakresu. Przeanalizowanie...
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Effects of Surface Pretreatment of Titanium Substrates on Properties of Electrophoretically Deposited Biopolymer Chitosan/Eudragit E 100 Coatings
PublicationThe preparation of the metal surface before coating application is fundamental in determining the properties of the coatings, particularly the roughness, adhesion, and corrosion resistance. In this work, chitosan/Eudragit E 100 (chit/EE100) were fabricated by electrophoretic deposition (EPD) and both their microstructure and properties were investigated. The present research is aimed at characterizing the effects of the surface...
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Mathematical Thinking and Learning
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Animal Learning and Behavior
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Learning Environments Research
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Development and Learning in Organizations
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Journal of Workplace Learning
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Information and Learning Science
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Learning Media and Technology
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Journal of Learning Styles
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Journal of Teaching and Learning
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Language Learning and Development
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Journal of Learning Design
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Journal of Peer Learning
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International Journal of Learning
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Technology Knowledge and Learning
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Online Learning Journal
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English Teaching and Learning
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Research in Learning Technology
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Learning Health Systems
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Teaching and Learning in Nursing
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