Search results for: AUTOMATY SKOŃCZONE - Bridge of Knowledge

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Search results for: AUTOMATY SKOŃCZONE

Search results for: AUTOMATY SKOŃCZONE

  • Mining inconsistent emotion recognition results with the multidimensional model

    Publication

    - IEEE Access - Year 2021

    The paper deals with the challenge of inconsistency in multichannel emotion recognition. The focus of the paper is to explore factors that might influence the inconsistency. The paper reports an experiment that used multi-camera facial expression analysis with multiple recognition systems. The data were analyzed using a multidimensional approach and data mining techniques. The study allowed us to explore camera location, occlusions...

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  • A Universal Gains Selection Method for Speed Observers of Induction Machine

    Publication

    - ENERGIES - Year 2021

    Properties of state observers depend on proper gains selection. Each method of state estimation may require the implementation of specific techniques of finding those gains. The aim of this study is to propose a universal method of automatic gains selection and perform its verification on an induction machine speed observer. The method utilizes a genetic algorithm with fitness function which is directly based on the impulse response...

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  • Artificial intelligence for software development — the present and the challenges for the future

    Since the time when first CASE (Computer-Aided Software Engineering) methods and tools were developed, little has been done in the area of automated creation of code. CASE tools support a software engineer in creation the system structure, in defining interfaces and relationships between software modules and, after the code has been written, in performing testing tasks on different levels of detail. Writing code is still the task...

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  • Wybrane metody sterowania statkiem

    Publication

    W rozdziale przedstawiono dwa główne nurty badań w zakresie sterowania stat-kiem na morzu: dynamiczne pozycjonowanie (DP) statku i wspomaganie decyzji w sytuacji kolizyjnej na morzu. Dla systemu DP określono strukturę sterowania i podstawowe wymagania. Omówiono wybrane problemy sterowania automatycz-nego statkiem dynamicznie pozycjonowanym. Dokonano przeglądu zaawanso-wanych metod sterowania statkiem DP z uwzględnieniem zadań poszczególnych...

  • Fault Loop Impedance Measurement in Circuits Fed by UPS and Principle of Safety Protection

    Publication

    This paper indicates a significant problem of uncertainty of fault loop impedance (FLI) measurement in circuits powered from uninterruptible power supply (UPS) (double-conversion AC-DC-AC). The correctly determined value of this impedance, related to the short-circuit current disconnection time and to the reference value, is one of the most important elements that determines the approval of an electrical installation and its receivers...

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  • Chapter 8 – Active Sampling of Air

    Publication

    - Year 2016

    This chapter reviews the literature information on analytical techniques and laboratory equipment used for active sampling of air (atmospheric and indoor) in regular monitoring research. It describes popular analytical devices applied for sample collection using various types of polymeric bags, e.g. Tedlar bags, Teflon or Nafion bags, and/or stainless steel vacuum containers. It reviews literature data about the application of...

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  • Exploring Relationships Between Data in Enterprise Information Systems by Analysis of Log Contents

    Publication

    - Year 2024

    Enterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...

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  • Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks

    Publication

    The presented paper investigates the problem of endoscopic bleeding detection in endoscopic videos in the form of a binary image classification task. A set of definitions of high-level visual features of endoscopic bleeding is introduced, which incorporates domain knowledge from the field. The high-level features are coupled with respective feature descriptors, enabling automatic capture of the features using image processing methods....

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  • AUTOMATYCZNE GENEROWANIE KOLEJNOŚCI LIST UTWORÓW MUZYCZNYCH

    Publication

    - Year 2021

    W niniejszym rozdziale przedstawiono przygotowanie algorytmu do automa-tycznego układania kolejności utworów muzycznych i zgrywającego je do postaci jednego, długiego miksu. Dzięki algorytmowi dobierane są utwory na podstawie analizy podobieństwa fragmentów końcowych i początkowych utworów. Podo-bieństwo to jest obliczane za pomocą odległości euklidesowej między wektorami parametrów wyznaczonymi przez autoenkoder oraz na podstawie...

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  • Model otwartej architektury rozproszonych dokumentów elektronicznych wspierającej proces podejmowania decyzji w trybie obliczeń zespołowych

    Publication

    - Year 2013

    Model otwartej architektury mobilnych dokumentów interaktywnych MIND, został opracowany w celu efektywnego zarządzania informacją w procesach podejmowanych przez organizacje oparte na wiedzy. Architektura ta stanowi całościowy opis struktury i funkcjonalności dokumentu, zaprojektowanego w celu realizacji rozproszonego przetwarzania zespołowego i pracy grupowej. Umożliwia automatyczne przejście od statycznej postaci dokumentów...

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  • Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance

    Publication
    • K. Saboo
    • Y. Varatharajah
    • B. M. Berry
    • V. Kremen
    • M. R. Sperling
    • K. A. Davis
    • B. C. Jobst
    • R. E. Gross
    • B. C. Lega
    • S. A. Sheth... and 3 others

    - Scientific Reports - Year 2019

    Identification 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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  • Utilization of fuzzy rules in computer character animation

    Publication

    - Year 2010

    The chapter presents a method for automatic enhancement of computer character animation utilizing fuzzy inference. First the user designs a prototype version of animation, with keyframes only for important poses, roughly describing the action. Then animation is enriched with new motion phases calculated by the fuzzy inference system using descriptors given by the user. Various degrees of motion fluency and naturalness are possible...

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  • Coastline change-detection method using remote sensing satellite observation data

    Publication

    - HYDROACOUSTICS - Year 2016

    Coastal zones are not only the fundaments for local economics based on trade, shipping and transport services, but also a source of food, energy and resources. Apart from offering diverse opportunities for recreation and tourism, coastal zones provide protection against storms and other meteorological disturbances. Environmental information is also essential because of the direct influence on a country’s maritime zones, which are...

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  • Diagnostyka obwodów elektrycznych magnesów nadprzewodzących

    W ramach międzynarodowego projektu FAIR, którego uczestnikiem jest również Polska, budowany jest obecnie w Darmstad (Niemcy) akcelerator kołowy. Będzie on służyć do rozpędzania ciężkich jonów do prędkości bliskich prędkości światła. Akcelerator ten będzie zbudowany z magnesów nadprzewodzących co pozwoli m.in. na minimalizację strat energii elektrycznej. Utrzymanie magnesów akceleratora w stanie nadprzewodnictwa wymaga kontroli...

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  • Investigation of the laser generated ablation plasma plume dynamics and plasma plume sound wave dynamics

    Publication
    • M. Tański
    • R. Barbucha
    • M. Kocik
    • K. Garasz
    • J. Mizeraczyk

    - Year 2012

    We investigated the dynamics of laser generated ablation plasma plume expanding in ambient air and dynamics of the sound wave generated by the expanding plasma. The ablation plasma plume was generated during nanosecond laser micromachining of the thin metal foil. The time-resolved images of the expanding plasma plume and sound wave were captured at several nanosecond intervals. Using captured images the expansion rate of the plasma...

  • Towards automation of IT systems repairs

    Publication

    - SOFTWARE QUALITY JOURNAL - Year 2016

    Monitoring and repair are two sides of the on-the-fly maintenance of IT systems.Monitoring is well supported by automatic tools. In contrast, repairs involve much higherhuman intervention which negatively affects reliability and efficiency. The paper intro-duces a method of automating repairs of IT systems which can be integrated with any ofthe existing monitoring mechanisms. The method is described as a collection of modelsand...

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  • A structure and design optimization of novel compact microscrip dual-band rat-race coupler with enhanced bandwidth

    Publication

    In the letter, a topology of a novel compact wideband dual-band rat-race coupler has been presented along with its computationally efficient design optimization procedure. Reduction of the circuit size has been achieved by meandering transmission lines of the conventional circuit. At the same time, the number of independent geometry parameters has been increased so as to secure sufficient flexibility of the circuit, necessary in...

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  • SUBJECTIVE PERCEPTION OF MUSIC GENRES IN THE FIELD OF MUSIC INFORMATION RETRIEVAL SYSTEMS

    Publication

    - Year 2014

    The aim of this paper is to evaluate the relationship between perception of music genres and subjective features of music that can be assigned to them. For this purpose a group of subjective features such as loudness, melody, rhythm, volume, instrumentation was chosen to describe music genres. A group of 30 listeners with normal hearing, ranging from 20 to 40, was created. Each sub-ject participating in listening tests was asked...

  • SUBJECTIVE PERCEPTION OF MUSIC GENRES IN THE FIELD OF MUSIC INFORMATION RETRIEVAL SYSTEMS

    Publication

    - Year 2014

    The aim of this paper is to evaluate the relationship between perception of music genres and subjective features of music that can be assigned to them. For this purpose a group of subjective features such as loudness, melody, rhythm, volume, instrumentation was chosen to describe music genres. A group of 30 listeners with normal hearing, ranging from 20 to 40, was created. Each sub-ject participating in listening tests was asked...

  • Distributed Framework for Visual Event Detection in Parking Lot Area

    The paper presents the framework for automatic detection of various events occurring in a parking lot basing on multiple camera video analysis. The framework is massively distributed, both in the logical and physical sense. It consists of several entities called node stations that use XMPP protocol for internal communication and SRTP protocol with Jingle extension for video streaming. Recognized events include detecting parking...

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  • Soxhlet Extraction and New Developments Such as Soxtec in: Comprehansive Sampling and Sample Preparation

    Publication

    - Year 2012

    Soxhlet extraction is one of the most popular techniques for extraction of analytes from solid materials. Since its discovery in 1879, the standard Soxhlet technique has been routinely applied in almost every analytical laboratory. Up to this day, Soxhlet extraction technique remains a standard technique to which the performance of modern extraction techniques is compared.Over the years, an intensive research on different modifications...

  • Ontological Model for Contextual Data Defining Time Series for Emotion Recognition and Analysis

    Publication

    One of the major challenges facing the field of Affective Computing is the reusability of datasets. Existing affective-related datasets are not consistent with each other, they store a variety of information in different forms, different formats, and the terms used to describe them are not unified. This paper proposes a new ontology, ROAD, as a solution to this problem, by formally describing the datasets and unifying the terms...

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  • Playback detection using machine learning with spectrogram features approach

    Publication

    - Year 2017

    This paper presents 2D image processing approach to playback detection in automatic speaker verification (ASV) systems using spectrograms as speech signal representation. Three feature extraction and classification methods: histograms of oriented gradients (HOG) with support vector machines (SVM), HAAR wavelets with AdaBoost classifier and deep convolutional neural networks (CNN) were compared on different data partitions in respect...

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  • Utilization of a Non-Linear Error Function in a Positioning Algorithm for Distance Measurement Systems Designed for Indoor Environments

    A new positioning algorithm for distance measurement systems is outlined herein. This algorithm utilizes a non-linear error function which allows us to improve the positioning accuracy in highly difficult indoor environments. The non-linear error function also allows us to adjust the performance of the algorithm to the particular environmental conditions. The well-known positioning algorithms have limitations, mentioned by their...

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  • Studying road restraint systems to develop new guidelines

    The paper will present a proposed approach to such work along with preliminary results of numerical studies for selected problems using road safety devices such as safety barriers on horizontal curves, the effect of kerbs on bridges or the location of obstacles within the barrier’s working width. The paper will discuss assumptions to a methodology of numerical models, calculations and automated processing of data to help with assessing...

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  • The effect of anthropogenic activity on BTEX, NO2, SO2, and CO concentrations in urban air of the spa city of Sopot and medium-industrialized city of Tczew located in North Poland

    Publication

    - ENVIRONMENTAL RESEARCH - Year 2016

    The major goal of the present study is to compare the air quality of two urban locations situated in Northern Poland – the spa City of Sopot and the medium-industrialized city of Tczew using chemometric methods. As a criterion for the assessment of atmospheric air quality, measurements of benzene, toluene, ethylbenzene and total xylenes were used (collected from atmospheric air using diffusion-type passive samplers) as well as...

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  • Technologie Informacyjne 2005

    Publication

    - Year 2005

    Krajowa Konferencja "Technologie Informacyjne" jest od trzech lat organizowana przez Wydział Elektroniki, Telekomunikacji i Informatyki PG. W tym roku odbyła się w dniach 23-25 maja. Obrady dotyczyły: internetowych systemów informacyjnych, wizualizacji informacji, niezawodności i bezpieczeństwa systemów informacyjnych, inżynierii oprogramowania (także interdyscyplinarnej), systemów multimedialnych, dokumentów cyfrowych, modelowania...

  • How to Sort Them? A Network for LEGO Bricks Classification

    Publication

    LEGO bricks are highly popular due to the ability to build almost any type of creation. This is possible thanks to availability of multiple shapes and colors of the bricks. For the smooth build process the bricks need to properly sorted and arranged. In our work we aim at creating an automated LEGO bricks sorter. With over 3700 different LEGO parts bricks classification has to be done with deep neural networks. The question arises...

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  • Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically

    Publication

    - Year 2022

    The aim of this study is two-fold. First, we perform a series of experiments to examine the interference of different noises on speech processing. For that purpose, we concentrate on the Lombard effect, an involuntary tendency to raise speech level in the presence of background noise. Then, we apply this knowledge to detecting speech with the Lombard effect. This is for preparing a dataset for training a machine learning-based...

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  • Mask Detection and Classification in Thermal Face Images

    Publication

    Face masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic. In this work, the use of thermal imaging was considered to analyze the possibility of detecting (localizing) a mask on the face, as well as to check whether it is possible to classify...

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  • Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge

    Publication

    Auto-tuning of configuration and application param- eters allows to achieve significant performance gains in many contemporary compute-intensive applications. Feasible search spaces of parameters tend to become too big to allow for exhaustive search in the auto-tuning process. Expert knowledge about the utilized computing systems becomes useful to prune the search space and new methodologies are needed in the face of emerging heterogeneous...

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  • Ionic liquids-based microextraction techniques

    Publication

    In recent years, the development of highly efficient analytical techniques is of great importance, however, the direct analysis of complex sample matrix is still impossible in many cases. Therefore, the step of sample preparation is commonly involved in an analytical procedure. Over the years, it has been realized that the major source of inaccuracy and imprecision on general analysis results from the operations associated to sample...

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  • Optymalizacja strategii sieci inteligentnych agentów za pomocą programowania genetycznego w systemie rozproszonym realizującym paradygmat volunteer computing

    Publication

    - Year 2017

    Dynamicznie rosnąca złożoność i wymagania w odniesieniu do rozproszonych systemów informatycznych utrudnia zarządzanie dostępnymi zasobami sprzętowymi i programistycznymi. Z tego powodu celem rozprawy jest opracowanie wielokryterialnej metody programowania genetycznego, która pozwala na optymalizację strategii zespołu inteligentnych agentów programistycznych w zakresie zarządzania systemem realizującym paradygmat volunteer computing....

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  • Układy wieloczłonowe z więzami jednostronnymi w zastosowaniu do modelowania złożonych układów mechanicznych. - K. Lipiński.

    Publication

    - Year 2012

    Jest to monografia poświęcona modelowaniu i analizie dynamiki maszyn, w szczególności maszyn modelowanych jako układy wieloczłonowe. Zaprezentowano rozwiązania klasyczne oraz autorskie metody modelowania i eliminacji ograniczeń spotykanych podczas modelowania dynamiki układów tego typu. Szczególną uwagę poświęcono równaniom więzów. Omówiono sposoby ich formułowania oraz metody modelowania dynamiki układu z więzami. Ważną rolę odegrają...

  • Speech Analytics Based on Machine Learning

    Publication

    In this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...

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  • Constructing a map of an anonymous graph: applications of universal sequences

    Publication

    - LECTURE NOTES IN COMPUTER SCIENCE - Year 2010

    We study the problem of mapping an unknown environmentrepresented as an unlabelled undirected graph. A robot (or automaton)starting at a single vertex of the graph G has to traverse the graph and return to its starting point building a map of the graph in the process. We are interested in the cost of achieving this task (whenever possible) in terms of the number of edge traversal made by the robot. Another optimization criteria...

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  • Using angular dependence of multibeam echo features in seabed classification

    Publication

    The new approach to seabed classification based on processing multibeam sonar echoes is presented. The multibeam sonars, besides their well verified and widely used applications like high resolution bathymetry measurements or underwater object imaging, are also the promising tool in seafloor identification and classification, having several advantages over conventional single beam echosounders. The proposed seabed classification...

  • Laboratoryjny model odbioru oparty na przekształtniku częstotliwości o mocy 150 kVA i platformie Simulink Real-Time – koncepcja, realizacja, badania eksperymentalne

    Publication

    - Acta Energetica - Year 2016

    W artykule opisano koncepcję oraz sposób realizacji laboratoryjnego modelu odbioru o mocy 150 kVA. Odbiornik zaprojektowano w taki sposób, aby umożliwić emulację zmienności mocy dowolnego odbioru. Integralnym elementem modelu jest transformator z energoelektronicznym przełącznikiem zaczepów. W pierwszej części artykułu przedstawiono założenia, strukturę przyjętego algorytmu sterowania, wymieniono i opisano podstawowe wielkości...

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  • 3D Machine Vision System for Inspection of Contact Strips in Railway Vehicle Current Collectors

    Publication

    Construction and technical condition of current collectors is crucial to reliability and safety of railway transportation. According to the Technical Specifications for Interoperability railway vehicles in the European Union should be equipped with carbon contact strips. Excessive wear or defects of contact strips degrade the capability of undisturbed power transmission, cause faster wear of contact wire, and can even result in...

  • Travel Time of Public Transport Vehicles Estimation

    Effective prediction of speed is central to advanced traveler information and transportation management systems. The speed of public transport vehicles is affected by many external factors including traffic volume, organization and infrastructure. The literature presents methods for estimating travel time on sections of a transport network and vehicle arrival at stops, often making use of the AVL (automatic vehicle location). The...

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  • Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment

    Publication
    • E. Sanchez
    • W. Peng
    • C. Toro
    • C. Sanin
    • M. Grana
    • E. Szczerbicki
    • E. Carrasco
    • F. Guijarro
    • L. Brualla

    - NEUROCOMPUTING - Year 2014

    Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence...

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  • Smart Virtual Bass Synthesis Algorithm Based on Music Genre Classification

    Publication

    The aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) algorithms applied to portable computers. The proposed algorithm employed automatic music genre recognition to determine the optimum parameters for the synthesis of additional frequencies. The synthesis was carried out using the non-linear device (NLD) and phase vocoder (PV) methods depending on the music excerpt genre. Classification of musical...

  • Dichotomous design of real-time systems

    Publication

    W pracy prezentuje się i analizuje dwie podstawowe metody projektowania komputerowych systemów czasu rzeczywistego, spełniających rozmaite zadania z zakresu automatyki, sterowania, nadzoru i diagnostyki, w których następuje interakcja komputera z obiektami i procesami przemysłowymi, które posiadają naturę ciągłą (pozwalającą na ścisłą matematyczną charakteryzację w czasie ciągłym). Definiuje się podejście uwarunkowane kontekstowo...

  • Hazard Control in Industrial Environments: A Knowledge-Vision-Based Approach

    Publication

    This paper proposes the integration of image processing techniques (such as image segmentation, feature extraction and selection) and a knowledge representation approach in a framework for the development of an automatic system able to identify, in real time, unsafe activities in industrial environments. In this framework, the visual information (feature extraction) acquired from video-camera images and other context based gathered...

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  • On reliability assessment of ship machinery system in different autonomy degree; A Bayesian-based approach

    Publication
    • A. BahooToroody
    • M. M. Abaei
    • O. Valdez Banda
    • J. Montewka
    • P. Kujala

    - OCEAN ENGINEERING - Year 2022

    Analyzing the reliability of autonomous ships has recently attracted attention mainly due to epistemic uncertainty (lack of knowledge) integrated with automatic operations in the maritime sector. The advent of new random failures with unrecognized failure patterns in autonomous ship operations requires a comprehensive reliability assessment specifically aiming at estimating the time in which the ship can be trusted to be left unattended....

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  • Predictions of cervical cancer identification by photonic method combined with machine learning

    Publication
    • M. Kruczkowski
    • A. Drabik-Kruczkowska
    • A. Marciniak
    • M. Tarczewska
    • M. Kosowska
    • M. Szczerska

    - Scientific Reports - Year 2022

    Cervical cancer is one of the most commonly appearing cancers, which early diagnosis is of greatest importance. Unfortunately, many diagnoses are based on subjective opinions of doctors—to date, there is no general measurement method with a calibrated standard. The problem can be solved with the measurement system being a fusion of an optoelectronic sensor and machine learning algorithm to provide reliable assistance for doctors...

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  • The impact of shipping 4.0 on controlling shipping accidents: A systematic literature review

    Publication
    • A. Sepehri
    • H. R. Vandchali
    • A. W. Siddiqui
    • J. Montewka

    - OCEAN ENGINEERING - Year 2022

    Maritime shipping, with a significant role in global trade, confronts various accidents leading to loss of lives, properties, and the environment. Shipping 4.0 technologies are scaling up to address this problem by employing real-time data-driven technologies, including cyber-physical systems, advanced tracking and tracing, intelligent systems, and big data analytics. Despite growing attention, there is a general lack of clarity...

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  • Intraday price reaction to filing bankruptcy and restructuring proceedings – the evidence from Poland

    Publication

    - Year 2021

    This chapter presents the results of research on the price reaction of shares listed on the Warsaw Stock Exchange to filing bankruptcy and/or restructuring applications. Event study was adopted as the research method, and it was performed at 10, 5, and 1-minute intervals. It was found that the reaction is rapid, as it takes 1–2 minutes after the information on bankruptcy and restructuring applications was made public. Significantly...

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  • System Zarządzania Energią w zakładzie przemysłowym

    W ramach prac badawczo-rozwojowych z firmą Nowa Energia Sp. z o.o. powstał System Zarządzania Energią, w postaci systemu informatycznego i sprzętowego koncentratora danych tzw. IED (ang. Inteligent Electronics Devices). Produkt ten został wdrożony w przemyśle do Zarządzania Energią w zakładach przemysłowych. System jest zainstalowany w stacji energetycznej 15kV/0,4kV, zaś główny serwer z oprogramowaniem znajduje się na Politechnice...

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  • EM-Driven Multi-Objective Optimization of a Generic Monopole Antenna by Means of a Nested Trust-Region Algorithm

    Antenna structures for modern applications are characterized by complex and unintuitive topologies that are difficult to develop when conventional experience-driven techniques are of use. In this work, a method for automatic generation of antenna geometries in a multi-objective setup has been proposed. The approach involves optimization of a generic spline-based radiator with adjustable number of parameters using a nested trust-region-based...

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