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- Publikacje 7067 wyników po odfiltrowaniu
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Wyniki wyszukiwania dla: approximation algorithm, graph coloring, incompatible job, polynomial algorithm, scheduling, uniform machine, unit-time job
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Regional resting state perfusion variability and delayed cerebrovascular uniform reactivity in subjects with chronic carotid artery stenosis
PublikacjaThe aim of this study was to assess regional perfusion at baseline and regional cerebrovascular resistance (CVR) to delayed acetazolamide challenge in subjects with chronic carotid artery stenosis.Sixteen patients (ten males) aged 70.94±7.71 with carotid artery stenosis ≥90% on the ipsilateral side and ≤50% on the contralateral side were enrolled into the study. In all patients, two computed tomography perfusion examinations were...
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Real-Time Operating Microsystems 2023/2024
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The application of a photopolymer material for the manufacture of machine elements using rapid prototyping techniques
PublikacjaThe paper discusses the application of polymer resin for 3D printing. The first section focuses on rapid prototyping technique and properties of the photopolymer, used as input material in the manufacture of machine components. Second part of the article was devoted to exemplary 3-D-printed elements for incorporation in machines. The article also contains detailed description of problems encountered in implementation of the selected...
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Complixity results on open shop scheduling to minimize total cost of operations
PublikacjaW pracy zaprezentowano serię rezultatów dotyczących złożoności obliczeniowejproblemu szeregowania w systemie otwartym z kryterium łącznego kosztu opera-cji. W ogólności problem jest NP-trudny nawet w przypadku 1-procesorowym.Dlatego zaprezentowano możliwie wiele przypadków szczególnych, które są wie-lomianowe. Są one funkcją długości operacji i struktury grafu konfliktów po-między zadaniami.
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A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
PublikacjaRNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes. Experimental validation of RPI has been time-consuming, paving the way for computational prediction methods. The major limiting factor of these methods has been the accuracy and confidence of the predictions, and our in-house experiments show that they fail to accurately predict RPI involving short RNA sequences such as TERRA RNA....
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Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets
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Modelling of energy flow in mechatronic systems. A bond graph approach
PublikacjaW referacie przedstawiono w sposób jednoliy modelowanie systemów mechatroniki metodą grafów wiązań (GW) w aspekcie symulacji przepływu energii. Omówiono ogólne założenia modelowania w ujęciu GW. Modelowanie przepływu energii rozważano na przykładzie napędu pojazdu hybrydowego PH-MAK.
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Towards explainable motion prediction using heterogeneous graph representations
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Tighter bounds on the size of a maximum P3-matching in a cubic graph
PublikacjaW pracy pokazano, że największe P3-skojarzenie dla dowolnego grafu o n>16 wierzchołkach składa się z przynajmniej 117n/152 wierzchołków.
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Modelling of energy flow in electrical machines. A bond graph approach
PublikacjaPrzedstawiono w ujęcia grafów wiązań model przepływu energii/mocy w maszynach elektrycznych pracujących w hybrydowych systemach przetwarzania energii. Jako przykład do rozważań przyjęto system napędu trakcyjnego pojazdów hybrydowych.
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Foundations and Trends in Machine Learning
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International Journal of Machine Intelligence
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Machine Learning and Knowledge Extraction
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Machine Learning-Science and Technology
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Evaluation of Machine Learning Methods for the Experimental Classification and Clustering of Higher Education Institutions
PublikacjaHigher education institutions have a big impact on the future of skills supplied on the labour market. It means that depending on the changes in labour market, higher education institutions are making changes to fields of study or adding new ones to fulfil the demand on labour market. The significant changes on labour market caused by digital transformation, resulted in new jobs and new skills. Because of the necessity of computer...
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Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2018
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2018. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 727 respondents. The study concerned i.a. the percentage of people working among graduates of the...
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Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2013.
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2013. The survey was conducted in 2015, two years after the respondents obtained graduate status. The research sample included 1777 respondents. The study concerned i.a. the percentage of people working among graduates of the...
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Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2017
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2017. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. The study concerned i.a. the percentage of people working among graduates of...
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Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2015
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2015. The survey was conducted in 2017, two years after the respondents obtained graduate status. The research sample included 2553 respondents. The study concerned i.a. the percentage of people working among graduates of the...
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Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2014
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2014. The survey was conducted in 2016, two years after the respondents obtained graduate status. The research sample included 2004 respondents. The study concerned i.a. the percentage of people working among graduates of the...
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Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2016
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2016. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. The study concerned i.a. the percentage of people working among graduates of the...
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Asphalt concrete subjected to long-time loading at low temperatures – Deviations from the time-temperature superposition principle
PublikacjaThe article presents the observed deviations from the time-temperature superposition principle of asphalt concretes, tested in the bending beam creep test at low temperatures for a long time of loading. In almost all tested asphalt concretes, deviations appeared after 500 s of loading at the temperature of -10 C. Some types of bitumen presented deviations at other temperatures – usually the harder the grade of the bitumen, the...
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Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance
PublikacjaMachine learning and Artificial Intelligence have grown significant attention from industry and academia during the past decade. The key reason behind interest is such technologies capabilities to revolutionize human life since they seamlessly integrate classical networks, networked objects and people to create more efficient environments. In this paper, the Knowledge Representation technique of Set of Experience...
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Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images
PublikacjaNumerical weather prediction (NWP) is a rapidly expanding field of science, which is related to meteorology, remote sensing and computer science. Authors present methods of enhancing WRF EMS (Weather Research and Forecast Environmental Modeling System) weather prediction system using data from satellites equipped with AMSU sensor (Advanced Microwave Sounding Unit). The data is acquired with Department of Geoinformatics’ ground...
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Dead time effects compensation strategy by third harmonic injection for a five-phase inverter
PublikacjaThis paper proposes a method for compensation of dead-time effects for a fivephase inverter. In the proposed method an additional control subsystem was added to the field-oriented control (FOC) scheme in the coordinate system mapped to the third harmonic. The additional control loop operates in the fixed, orthogonal reference frame ( α - β coordinates) without the need for additional Park transformations. The purpose of this method...
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Machine-aided detection of SARS-CoV-2 from complete blood count
PublikacjaThe current gold standard for SARS-CoV-2 detection methods lacks the functionality to perform population screening. Complete blood count (CBC) tests are a cost-effective way to reach a wide range of people – e.g. according to the data of the Central Statistical Office of Poland from 2016, there are 3,000 blood diagnostic laboratories in Poland, and 46% of Polish people have at least one CBC test per year. In our work, we show...
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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublikacjaBiochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
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The conducted immunity test of a power supply unit in the frequency range from 19 MHz to 26 MHz for the RF voltage level of 3 V
Dane BadawczeThe dataset presents a result of measurements that are a part of immunity tests to conducted disturbances, induced by radio-frequency fields. The immunity tests were carried out on the mains cable of the DF1723003TC NDN power supply unit. Tests of immunity of electronic systems to conducted disturbances in the frequency range from 19 MHz to 26 MHz were...
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The conducted immunity test of a power supply unit in the frequency range from 19 MHz to 26 MHz for the RF voltage level of 1 V
Dane BadawczeThe dataset presents a result of measurements that are a part of immunity tests to conducted disturbances, induced by radio-frequency fields. The immunity tests were carried out on the mains cable of the DF1723003TC NDN power supply unit. Tests of immunity of electronic systems to conducted disturbances in the frequency range from 19 MHz to 26 MHz were...
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The conducted immunity test of a power supply unit in the frequency range from 19 MHz to 26 MHz for the RF voltage level of 10 V
Dane BadawczeThe dataset presents a result of measurements that are a part of immunity tests to conducted disturbances, induced by radio-frequency fields. The immunity tests were carried out on the mains cable of the DF1723003TC NDN power supply unit. Tests of immunity of electronic systems to conducted disturbances in the frequency range from 19 MHz to 26 MHz were...
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How Integration of a Brain-Machine Interface and Obstacle Detection System Can Improve Wheelchair Control via Movement Image
PublikacjaThis study presents a human-computer interaction combined with a brain-machine interface (BMI) and obstacle detection system for remote control of a wheeled robot through movement imagery, providing a potential solution for individuals facing challenges with conventional vehicle operation. The primary focus of this work is the classification of surface EEG signals related to mental activity when envisioning movement and deep relaxation...
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Optical method supported by machine learning for urinary tract infection detection and urosepsis risk assessment
PublikacjaThe study presents an optical method supported by machine learning for discriminating urinary tract infections from an infection capable of causing urosepsis. The method comprises spectra of spectroscopy measurement of artificial urine samples with bacteria from solid cultures of clinical E. coli strains. To provide a reliable classification of results assistance of 27 algorithms was tested. We proved that is possible to obtain...
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Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality
PublikacjaHigh-quality echocardiogram images are the cornerstone of accurate and reliable measurements of the heart. Therefore, this study aimed to develop, validate and compare machine learning and deep learning algorithms for accurate and automated assessment of transthoracic echocardiogram image quality. In total, 4090 single-frame two-dimensional transthoracic echocardiogram...
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Photoelectrochemical and thermal characterization of aromatic hydrocarbons substituted with a dicyanovinyl unit
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Computationally efficient index generation unit using a Bloom filter
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Construction of index generation unit using probabilistic data structures
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Diagnostic pure transgastric NOTES in an intensive therapy unit patient
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Liquid crystal display unit for reconfigurable instrument for automotive applications
PublikacjaRozwój elektronicznych systemów w samochodach (radio, nawigacja, monitorowanie stanu pojazdu, telefon, GPS, itd.) stwarza potrzebę opracowania uniwersalnych i wysoko sprawnych systemów wizualizacji informacji dla kierowcy i pasażerów samochodu. Prezentacja informacji powinna następować z minimalnym zakłóceniem uwagi kierowcy i hierarchiczną klasyfikacją jej priorytetów. Poszukiwanie optymalnych rozwiązań systemów wizualizacji informacji...
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Axial piston pumps with cam driven commutation unit. z.
PublikacjaPrzedstawiono wyniki badań i podstawowe dane techniczne typowego szeregu pomp wielotłoczkowych osiowych wdrażanych do produkcji seryjnej.
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Impact of commutation unit design on hydraulic axial pump performance.
PublikacjaPrzedstawiono zależność pomiędzy konstrukcją mechanizmu rozrządu hydraulicznych pomp wielotłoczkowych osiowych a sprawnością i ciśnieniem pracy osiąganą przez te pompy. Zaprezentowano wyniki badań doświadczalnych.
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Real-time hybrid model of a wind turbine with doubly fed induction generator
PublikacjaIn recent years renewable sources have been dominating power system. The share of wind power in energy production increases year by year, which meets the need to protect the environment. Possibility of conducting, not only computer simulation, but also laboratory studies of wind turbine operation and impact on the power system and other power devices in laboratory conditions would be very useful. This article presents a method...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublikacjaProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublikacjaProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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Asynchronous time difference of arrival (ATDOA) method
PublikacjaA new method for a location service in the asynchronous wireless sensor networks is outlined. This method, which is called asynchronous time difference of arrival (ATDOA), enables calculation of the position of a mobile node without knowledge of relative time differences (RTDs) between measuring sensors. The ATDOA method is based on the measurement of time difference of arrival between the node and the same sensor at the discrete...
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Database of the convergence analysis results of the nonstandard approximation of the generalized Burgers–Huxley equation for the solution bounded within [0, γ^(1/p)].
Dane BadawczePresented dataset is a result of the convergence analysis of the Mickens-type, nonlinear, finite-difference discretization of a generalized Burgers–Huxley partial differential equation. The generalized Burgers–Huxley equation is a diffusive partial differential equation with nonlinear advection and diffusion. The boundary problem for this equation possesses...
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Residence time distribution in rapid multiphase reactors
PublikacjaResidence time distribution (RTD) provides information about average hydraulic residence time and the distribution of material in the reactor. A method for determining RTD for reactors with very short hydraulic residence times is deconvolution based on extraction of real RTD by the analysis of a non-ideal input signal. The mean residence time and dispersion were determined for the spinning fluids reactor (SFR). For the first time...
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The methodology for determining of the value of cutting power for cross cutting on optimizing sawing machine
PublikacjaIn the article the methodology of forecasting the energy effects of the cross-cutting process using the classical method, which takes into account the specific cutting resistance, is presented. The values of cutting power for the cross-cutting process of two types of wood (softwood and hardwood) were forecasted for the optimizing sawing machine with using presented methodology. The cross-cutting process with high values of feed...
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Paired domination versus domination and packing number in graphs
PublikacjaGiven a graph G = (V(G), E(G)), the size of a minimum dominating set, minimum paired dominating set, and a minimum total dominating set of a graph G are denoted by γ (G), γpr(G), and γt(G), respectively. For a positive integer k, a k-packing in G is a set S ⊆ V(G) such that for every pair of distinct vertices u and v in S, the distance between u and v is at least k + 1. The k-packing number is the order of a largest kpacking and...
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Bedload transport and temporal variation of non-uniform sediment in a seepage-affected alluvial channel
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Optimal Placement of Phasor Measurement Unit in Power System using Meta-Heuristic Algorithms
PublikacjaThe phasor measurement units (PMUs) play an important and vital role in power system monitoring and controlling, since they provide the power system phasors stamped with a common real time reference through a global positioning system (GPS). Indeed, from economical point of view it is not possible to set PMUs in all system buses due to the high cost and the requirement of more complex communication...