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Lessons learned from developing an Industry 4.0 mobile process management system supported by Artificial Intelligence
PublicationResearch, development and innovation (RDI) projects are undertaken in order to improve existing, or develop new, more efficient products and services. Moreover, the goal of innovation is to produce new knowledge through research, and disseminating it through education and training. In this line of thinking, this paper reports and discusses the lessons learned from the undertaken project, regarding three areas: machine learning...
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Bridge Ergonomic Design: A Review
PublicationHuman error remains the most common cause of marine incidents and it is worth emphasizing that navigator’s performance is directly affected by ergonomic factors on the bridge. Studies regarding influence of bridge design and work environment on the operator are rare, thus the main purpose of this paper is to fill in this gap. Documents issued by recognized organizations, research publications and additional sources were reviewed...
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Breast MRI segmentation by deep learning: key gaps and challenges
PublicationBreast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...
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The evolution of education spaces - from plan as generator to regenerative architecture, virtual rooms and green campuses
PublicationThe study programmes are often considered the main formative factors in the process of educating future architects. Another highly influential component is the architectural characteristics of learning spaces, and consequently the impact of the physical built environment on the quality of education has been widely discussed. However, not often do we realise that the characteristics of education spaces correlate with the organisational...
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A Bayesian regularization-backpropagation neural network model for peeling computations
PublicationA Bayesian regularization-backpropagation neural network (BRBPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. K-fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network...
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Multi-Aspect Quality Assessment Of Mobile Image Classifiers For Companion Applications In The Publishing Sector
PublicationThe paper presents the problem of quality assessment of image classifiers used in mobile phones for complimentary companion applications. The advantages of using this kind of applications have been described and a Narrator on Demand (NoD) functionality has been described as one of the examples, where the application plays an audio file related to a book page that is physically in front of the phone's camera. For such a NoD application,...
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Neural network model of ship magnetic signature for different measurement depths
PublicationThis paper presents the development of a model of a corvette-type ship’s magnetic signature using an artificial neural network (ANN). The capabilities of ANNs to learn complex relationships between the vessel’s characteristics and the magnetic field at different depths are proposed as an alternative to a multi-dipole model. A training dataset, consisting of signatures prepared in finite element method (FEM) environment Simulia...
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TeleCAD w kształceniu studentów Wydziału Inżynierii Lądowej Politechniki Gdańskiej
PublicationPrzedstawiono system TeleCAD opracowany w ramach projektu Leonardo da Vinci - Teleworkers Training for CAD Systems Users (1998-2001). Głównym celem projektu było stworzenie środowiska obsługi kursów programu AutoCAD bazującego na Internecie jako medium do komunikacji między uczestnikami oraz do dostarczania materiałów kursowych. W artykule zaprezentowano również system służący do oceny jakości szkoleń na odległość. Szkolenie TeleCAD...
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Mohammad Hossein Ghaemi dr inż.
PeopleMohammad Hossein Ghaemi Mohammad Hossein Ghaemi (1967), is an Assistant Professor at the Faculty of Mechanical Engineering and Ship Technology - WIMiO (till 2020: Faculty of Ocean Engineering and Ship Technology), Department of Automatics and Marine Energy Engineering. He studied first at Tehran University, where was graduated in the field of Mechanical Engineering (Solid Mechanics). Then he received his MSc degree in the area...
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Optymalizacja treningu i wnioskowania sieci neuronowych
PublicationSieci neuronowe są jedną z najpopularniejszych i najszybciej rozwijających się dziedzin sztucznej inteligencji. Ich praktyczne wykorzystanie umożliwiło szersze użycie komputerów w wielu obszarach komunikacji, przemysłu i transportu. Dowody tego są widoczne w elektronice użytkowej, medycynie, a nawet w zastosowaniach militarnych. Wykorzystanie sztucznej inteligencji w wielu przypadkach wymaga jednak znacznej mocy obliczeniowej,...
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Video of LEGO bricks on conveyor belt - wheels, tires and caterpillars
Open Research DataThe set contains videos of LEGO bricks (wheels, tires and caterpillars) moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located...
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Gold nanocubic structures agglomeration when put on conductive surfaces
Open Research DataThis dataset contains Dynamic EIS results obtained for the gold electrodes with non-functionalized gold nanocubes (AuNC) deposited at its surface. The deposition was the following: 2 uL of the solvent containing CTAB as the surfactant was put on the electrode and dried, the same procedure was applied 5 times. Afterward, the electrode was immersed in...
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Gold nanocubic structures agglomeration when put on conductive surfaces
Open Research DataThis dataset contains Dynamic EIS results obtained for the gold electrodes with non-functionalized gold nanocubes (AuNC) deposited at its surface. The deposition was the following: 2 uL of the solvent containing CTAB as the surfactant was put on the electrode and dried, the same procedure was applied 5 times. Afterward, the electrode was immersed in...
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Preliminary Identification of Quantitative Factors Determining the Duration of Court Proceedings in Commercial Cases
PublicationPurpose: The aim of the article was to identify factors that are linear combinations of the variables under scrutiny that affect the duration of court proceedings. Design/Methodology/Approach: This research was conducted on commercial cases, based on the Principal Components Analysis (PCA). The original variables were grouped into factors that are correlated with each other. The Kaiser Criterion (own value >1) was chosen as the...
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Emission profile of butan-2-one oxime from commercially available neutral silicone sealant
PublicationThe paper presents results of research on emission profile of butan-2-one oxime (methyl ethyl ketoxime, MEKO) released from two types of commercially available neutral silicone sealants: silicone type ‘S’ and silicone type ‘T’. To determine the emissions from silicone samples, the system consists of a stationary emission chamber, and the thermal desorption-gas chromatography-mass spectrometry system was applied. First, the research...
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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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L'Italie. Gagner à tout prix. L'industrie de l'armenent italien pendant la Grande Guerre
PublicationThe chapter outlines the economic and technological transformations of the Italian armament industry during the First World War
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On joint order and bandwidth selection for identification of nonstationary autoregressive processes
PublicationWhen identifying a nonstationary autoregressive process, e.g. for the purpose of signal prediction or parametric spectrum estimation, two important decisions must be taken. First, one should choose the appropriate order of the autoregressive model, i.e., the number of autoregressive coefficients that will be estimated. Second, if identification is carried out using the local estimation technique, such as the localized version of...
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Antecedents to Achieve Kanban Optimum Benefits in Software Companies
PublicationIn 2004, Kanban successfully entered into the Agile and Lean realm. Since then software companies have been increasingly using it in software development teams. The goal of this study is to perform an empirical investigation on antecedents considered as important for achieving optimum benefits of Kanban use and to discuss the practical implications of the findings. We conducted an online survey with software professionals from...
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An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-Key
PublicationThe topic of this paper is the use of deep learning techniques, more specifically convolutional neural networks, for steganalysis of digital images. The steganalysis scenario of the repeated use of the stego-key is considered. Firstly, a study of the influence of the depth and width of the convolution layers on the effectiveness of classification was conducted. Next, a study on the influence of depth and width of fully connected...
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CNN Architectures for Human Pose Estimation from a Very Low Resolution Depth Image
PublicationThe paper is dedicated to proposing and evaluating a number of convolutional neural network architectures for calculating a multiple regression on 3D coordinates of human body joints tracked in a single low resolution depth image. The main challenge was to obtain a high precision in case of a noisy and coarse scan of the body, as observed by a depth sensor from a large distance. The regression network was expected to reason about...
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Obtaining a Well-Trained Artificial Intelligence Algorithm from Cross-Validation in Endoscopy
PublicationThe article shortly discusses endoscopic video analysis problems and artificial intelligence algorithms supporting it. The most common method of efficiency testing of these algorithms is to perform intensive cross-validation. This allows for accurately evaluate their performance of generalization. One of the main problems of this procedure is that there is no simple and universal way of obtaining a specific instance of a well-trained...
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Theory vs. practice. Searching for a path of practical education
PublicationThe introduction of a three-tier model of higher education (the Bologna model) has led to considerable changes in the 1st- and 2nd-tier technical courses at universities. At present, a student with a bachelor’s degree can be employed in his / her profession after completing only 7 semesters of study. A search is under way for methods of combining theoretical knowledge taught at universities with practical knowledge gained afterwards....
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To Work or Not to Work… in a Multicultural Team?
PublicationThe main goal of the article is to present research findings regarding student’s attitude to working in a multicultural team (MCT). Research participants of different cultural background completed the research survey. Their willingness to work in MCT was measured together with factors that influence it. These include factors related to both team members and the task structure. Research findings indicate that the respondents preferred...
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Detection, classification and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous situations
PublicationEvaluation of sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for discerning between the events being in focus and the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the...
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Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network
PublicationThe idea of training Articial Neural Networks to evaluate chess positions has been widely explored in the last ten years. In this paper we investigated dataset impact on chess position evaluation. We created two datasets with over 1.6 million unique chess positions each. In one of those we also included randomly generated positions resulting from consideration of potentially unpredictable chess moves. Each position was evaluated...
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Difference in Perceived Speech Signal Quality Assessment Among Monolingual and Bilingual Teenage Students
PublicationThe user perceived quality is a mixture of factors, including the background of an individual. The process of auditory perception is discussed in a wide variety of fields, ranging from engineering to medicine. Many studies examine the difference between musicians and non-musicians. Since musical training develops musical hearing and other various auditory capabilities, similar enhancements should be observable in case of bilingual...
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The ab initio and experimental study of the spectroscopic and magnetic properties of Ho(III)-EDTA
Open Research DataIn this dataset, the ab initio calculations of the electronic structure and the magnetic properties are discussed in the context of the experimental data for the Ho–EDTA complex. In the calculations different models of the cluster have been applied to examine the influence of various parts of the environment of the Ho(III)-EDTA complex on its properties....
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Photographic documentation of the Palace in Osiek (Oświęcim County, Lesser Poland) at the turn of the 19th and 20th centuries
Open Research DataThis dataset presents photographic documentation of the Palace settled in Osiek (Oświęcim County, Małopolskie Voivodeship – Lesser Poland) from the first half of the 19th century. In 1972, the Palace was listed as a Palace and park complex. The complex consists of a palace, the outbuilding "Kasztel" (Castellum), the "Judge's House" outbuilding, the...
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The XRD diffraction patterns of as-prepared (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials synthesized via the solid state reaction method
Open Research DataThe (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials were synthesized via the solid state reaction method and examined as a potential anode material. First, the mixed oxide reagents were pressed into pellets and calcined at 1200 °C for 12 hours to decompose most of the organic compounds. The resulting calcined pellet was ground...
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Parameters and statistics of models made for selected companies of the Warsaw Stock Exchange
Open Research DataFor the WIG, WIG20 and mWIG40 indices, no day, week or month statistically differs from the average level of the index, which indicates no anomalies. The situation is different only for the index of small companies. In the case of sWIG80, the mean values on Friday, week 5 and 6, and during January, February and June were statistically different at the...
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The AFM micrographs and impedance study of epoxy coatings after exposure in corrosive media
Open Research DataThe dataset contains Atomic Force Microscopy (AFM) images and local impedance measurements of epoxy organic coating used as anti-corrosion protection, before and after 2-month exposure to sodium chloride solution. Additionally, there two local impedance spectra recorded after the coating exposure. The first one was recorded on intact coating surface,...
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The scanning spreading resistance microscopy (SSRM) of some CoCrMo alloys subjected to electrochemical litography
Open Research DataThe dataset contains the results of the experiment consisting of performing electrochemical lithography on the surface of the CoCrMo prosthetic alloy. First, by applying local anodic polarization, oxide structures were created on the surface of the material. Next, they were imaged in the SSRM (scanning spreading resistance microscopy) mode to visualize...
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Krzysztof Olszewski dr
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Głowice optoelektroniczne bezzałogowych środków latających
PublicationBezzałogowe środki latające nie wymagają długiego i kosztownego szkolenia załóg. Koszty ich wdrożenia są wielokrotnie niższe od załogowych środków latających. Bezzałogowe środki latające są następcami załogowych pojazdów latających rozpoznawczych i obserwacyjnych. Jednym z podstawowych elementów wyposażania bezzałogowego środka latającego jest głowica optoelektroniczna. Głowice wyposażone są w systemy rejestracji i śledzenia wskazanych...
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On neutral differential equations and the monotone iterative method
PublicationThe application of the monotone iterative method to neutral differential equations with deviating arguments is considered in this paper. We formulate existence results giving sufficient conditions which guarantee that such problems have solutions. This approach is new and to the Authors' knowledge, this is the first paper when the monotone iterative method is applied to neutral first-order differential equations with deviating...
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Twenty years' (1996-2016) tropospheric parameters for selected EPN stations derived from GPS double-difference processing
Open Research DataPropagation of global navigation satellite systems (GNSS) signals through the Earth’s atmosphere is affected by its physical properties. Both hydrostatic and wet part of the atmosphere (mostly related with troposphere) causes delays of GNSS signal, which usually are expressed in the zenith direction (zenith hydrostatic delay - ZHD, and zenith wet delay...
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Twenty years' (1996-2016) tropospheric parameters for selected EPN stations derived from GPS precise point positioning
Open Research DataPropagation of global navigation satellite systems (GNSS) signals through the Earth’s atmosphere is affected by its physical properties. Both hydrostatic and wet part of the atmosphere (mostly related with troposphere) causes delays of GNSS signal, which usually are expressed in the zenith direction (zenith hydrostatic delay - ZHD, and zenith wet delay...
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The XRD diffraction patterns of (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials after reduction at 900 deg.C in hydrogen
Open Research DataThe (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials were synthesized via the solid state reaction method and examined as a potential anode material. First, the mixed oxide reagents were pressed into pellets and calcined at 1200 °C for 12 hours to decompose most of the organic compounds. The resulting calcined pellet was ground...
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The XRD diffraction patterns of (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials after reduction at 1000 deg.C in hydrogen
Open Research DataThe (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials were synthesized via the solid state reaction method and examined as a potential anode material. First, the mixed oxide reagents were pressed into pellets and calcined at 1200 °C for 12 hours to decompose most of the organic compounds. The resulting calcined pellet was ground...
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The XRD diffraction patterns of (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials after reduction at 1100 deg.C in hydrogen
Open Research DataThe (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Cu, Fe, Mn, Ni) materials were synthesized via the solid state reaction method and examined as a potential anode material. First, the mixed oxide reagents were pressed into pellets and calcined at 1200 °C for 12 hours to decompose most of the organic compounds. The resulting calcined pellet was ground...
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SegSperm - a dataset of sperm images for blurry and small object segmentation
Open Research DataMany deep learning applications require figure-ground segmentation. The performance of segmentation models varies across modalities and acquisition settings.
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Physics-guided neural networks (PGNNs) to solve differential equations for spatial analysis
PublicationNumerous examples of physically unjustified neural networks, despite satisfactory performance, generate contradictions with logic and lead to many inaccuracies in the final applications. One of the methods to justify the typical black-box model already at the training stage and lead to many inaccuracies in the final applications. One of the methods to justify the typical black-box model already at the training stage involves extending...
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On Invariants of Fluid Mechanics Tensors
PublicationThis paper presents physical interpretations of the first and second invariants of tensors of fluid mechanics. Some examples of elementary applications and meanings are also given.
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The use of Acoustic Emission to identification damages bearings the main and crank engines about the automatic ignition
PublicationThe article describes the laboratory tests, which make the first stage of the study concerning the use of the AE method to determine the technical state of the slide bearings in engines with self-ignition. The aim of the present tests was to compare the recorded signals in relation to the technical state of the material of the bearing bush and to check the possibility of using the AE method in determining the transition moment...
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Turre cum capellis suis – identification of an earlier phase of the Holy Cross church at Tar – Stancija Blek (Tar-Vabriga – Torre-Abrega, Istria)
PublicationThe paper reports the results of the first campaign of excavations at the Church of the Holy Cross near Stancija Blek (Tar-Vabriga – Torre-Abrega municipality, Istria), which is close to the multiphase settlement of Old Tar. A trial trench behind the rear wall of the church and along its southern perimetral wall revealed an earlier building and one grave. Though the uncovered remains are scanty, several distinct architectural...
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Titania nanotubes infiltrated with conducting polymer PEDOT modified by Prussian Blue – a novel type of organic-inorganic heterojunction characterised with enhanced photoactivity.
PublicationA highly ordered p–n heterojunction was formed based on titania nanotubes containing a conducting polymer with Prussian blue matrix. The study demonstrates, for the first time, cases when a composite based on titania array scaffolding and Prussian blue embedded in PEDOT exhibits reversible FeII/FeIII redox activity. Highly enhanced photoactivity and capacitance of the obtained material are depicted in comparison to pristine titania....
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Człowiek zanurzony w rzeczywistości wirtualnej na przykładzie Laboratorium Zanurzonej Wizualizacji Przestrzennej
PublicationArtykuł opisuje Laboratorium Zanurzonej Wizualizacji Przestrzennej (LZWP), które umożliwia swobodną podróż w czasie i przestrzeni. Jego podstawowym wyposażeniem jest jaskinia rzeczywistości wirtualnej, czyli pomieszczenie o ścianach, suficie i podłodze stanowiących ekrany projekcyjne, wyświetlające generowane komputerowo obrazy 3D, tworzące spójny widok jednej sceny. Człowiek znajdujący się w takiej jaskini jest zatem zanurzony...
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Ranking Speech Features for Their Usage in Singing Emotion Classification
PublicationThis paper aims to retrieve speech descriptors that may be useful for the classification of emotions in singing. For this purpose, Mel Frequency Cepstral Coefficients (MFCC) and selected Low-Level MPEG 7 descriptors were calculated based on the RAVDESS dataset. The database contains recordings of emotional speech and singing of professional actors presenting six different emotions. Employing the algorithm of Feature Selection based...
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Investigating Feature Spaces for Isolated Word Recognition
PublicationThe study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...