Search results for: BI-DIRECTIONAL LONG SHORT-TERM MEMORY
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 11. series
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 2 serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 7th serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 10th series
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (150 minutes) 1 serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (up to 150 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 9th serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 4 serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 8th serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (60 minutes) 3 serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
-
Long-term measurement of physiological parameters - a teenager (100 minutes) 2nd serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (100 minutes) measurement of physiological parameters was performed on the healthy...
-
Europium Europium Short-Term Outgoing Visits
ProjectsProject realized in Faculty of Management and Economics according to 7/1/2024/IDUB/IV.2a/Eu agreement from 2024-02-16
-
Influence of temperature on the activity of anammox granular biomass.
PublicationThe aim of this study was to determine a short-term and long-term effect of temperature on the anammox rate and determination of temperature coefficients in the Arrhenius and Ratkowsky equations. The short-term effects of temperature on the anammox granular biomass were investigated in batch tests at ten different temperatures in the range of 10–55 °C. The maximum overall nitrogen removal rate of 1.3 gN gVSS−1·d−1 was observed...
-
Assessment of Trajectories of Non-bankrupt and Bankrupt Enterprises
PublicationThe aim of this study is to show how long-term trajectories of enterprises can be used to increase the forecasting horizon of bankruptcy prediction models. The author used seven popular forecasting models (two from Europe, two from Asia, two from North America and one from Latin America). These models (five multivariate discriminant analysis models and two logit models) were used to develop 17-year trajectories separately for non-bankrupt...
-
Blood Pressure Estimation Based on Blood Flow, ECG and Respiratory Signals Using Recurrent Neural Networks
PublicationThe estimation of systolic and diastolic blood pressure using artificial neural network is considered in the paper. The blood pressure values are estimated using pulse arrival time, and additionally RR intervals of ECG signal together with respiration signal. A single layer recurrent neural network with hyperbolic tangent activation function was used. The average blood pressure estimation error for the data obtained from 21 subjects...
-
Wieloletnie obserwacje soplówki jeżowatej Hericium erinaceum (Bull.: Fr.) Pers. (macromycetes) na stanowisku w Lasach Oliwskich (Trójmiejski Park Krajobrazowy) = Long-term observation of bearded tooth fungus Hericium erinaceum (Bull.: Fr.) Pers. (macromycetes) in Oliwskie Forests (Trójmiejski Landscape Park)
PublicationW pracy omówiono soplówkę jeżowatą oraz podano miejsca jej występowania w kraju i za granicą. Szczegółowo opisano stanowisko soplówki jeżowatej w Lasach Oliwskish w Trómiejskim Parku Krajobrazowym.
-
Magdalena Gajewska prof. dr hab. inż.
PeopleMagdalena Gajewska (born June 1th 1968 in Gdańsk) in 1993 graduated Hydro-Engineering Faculty at Gdańsk University of Technology. At present she is an assistant professor in the Department of Water and Wastewater Technology at the Faculty of Civil and Environmental Engineering GUT. PhD (2001) and habilitation (2013) in the discipline of environmental engineering. In the 2016-2020 term, serves as Vice -dean for science. She...
-
Evaluation of aspiration problems in L2 English pronunciation employing machine learning
PublicationThe approach proposed in this study includes methods specifically dedicated to the detection of allophonic variation in English. This study aims to find an efficient method for automatic evaluation of aspiration in the case of Polish second-language (L2) English speakers’ pronunciation when whole words are analyzed instead of particular allophones extracted from words. Sample words including aspirated and unaspirated allophones...
-
Sparse vector autoregressive modeling of audio signals and its application to the elimination of impulsive disturbances
PublicationArchive audio files are often corrupted by impulsive disturbances, such as clicks, pops and record scratches. This paper presents a new method for elimination of impulsive disturbances from stereo audio signals. The proposed approach is based on a sparse vector autoregressive signal model, made up of two components: one taking care of short-term signal correlations, and the other one taking care of long-term correlations. The method...
-
Influence of pitting corrosion on fatigue and corrosion fatigue of ship structures. Part I: pitting corrosion of ship structures.
PublicationThe paper is a literature survey focused on pitting corrosion and its influence on fatigue of ship and offshore steels. Mechanisms of short- and long-term pitting corrosion in marine environment have been described including pit nucleation and growth phases. Some models of pit growth versus time of exposure have been presented. Some factors which influence the pit growth have been discussed briefly.
-
Integrating Art into Places in Transition - Rose Kennedy Greenway in Boston as a Case Study
PublicationAmong the many projects realized in public spaces, some are truly unique – and these are the ones that build the identity of a place. The aim of this paper is to examine how integrating art and cultural strategies into public space can enhance and reinforce the sense of a place. Particular attention is devoted to urban spaces that we call “places in transition”, where public art improves the city’s imaginative capacity, enlivens...
-
Experimental and theoretical study on high-temperature creep of VT6 titanium alloy under multi-axial loading conditions
PublicationIn the framework of damage mechanics, we discuss a new mathematical model that describes the kinetics of the stress–strain state and damage accumulation during material degradation by the mechanism of long-term strength under complex multiaxial stress state. An experimental and theoretical technique is proposed for determination of material parameters and scalar constitutive functions for damaged media based on specially set experiments...
-
Multi-objective weather routing of sailing vessels
PublicationThe paper presents a multi-objective deterministic method of weather routing for sailing vessels. Depending on a particular purpose of sailboat weather routing, the presented method makes it possible to customize the criteria and constraints so as to fit a particular user’s needs. Apart from a typical shortest time criterion, safety and comfort can also be taken into account. Additionally, the method supports dynamic weather data:...
-
Ryszard Strzelecki prof. dr hab. inż.
People -
Tomasz Wąsowicz dr hab.
PeopleTomasz Wąsowicz's research was first related to high-resolution atomic spectroscopy and focused on measurements and analysis of the transition probabilities of the forbidden lines, the hyperfine and isotopic structure of spectral lines of heavy elements, Stark effect in the helium atom. Tomasz Wąsowicz currently studies physicochemical processes occurring during interactions of various forms of radiation with atoms and molecules...
-
Automated hearing loss type classification based on pure tone audiometry data
PublicationHearing problems are commonly diagnosed with the use of tonal audiometry, which measures a patient’s hearing threshold in both air and bone conduction at various frequencies. Results of audiometry tests, usually represented graphically in the form of an audiogram, need to be interpreted by a professional audiologist in order to determine the exact type of hearing loss and administer proper treatment. However, the small number of...
-
Experience-Based Cognition for Driving Behavioral Fingerprint Extraction
PublicationABSTRACT With the rapid progress of information technologies, cars have been made increasingly intelligent. This allows cars to act as cognitive agents, i.e., to acquire knowledge and understanding of the driving habits and behavioral characteristics of drivers (i.e., driving behavioral fingerprint) through experience. Such knowledge can be then reused to facilitate the interaction between a car and its driver, and to develop better and...
-
Przyczółki mostowe z konstrukcją odciążającą z gruntu zbrojonego geosyntetykami
PublicationPrzegląd najważniejszych cech geotekstyliów i wyrobów pokrewnych, zastosowanych do budowy bloków odciążających ze szczególnym uwzględnieniem ich wytrzymałości długo i krótkookresowej oraz reologii. Określenie obciążeń działających na konstrukcję gruntową współpracującą z przyczółkiem; obciążenia normowe i rzeczywiste. Obliczenia konstrukcji z gruntu zbrojonego współpracującej z przyczółkiem
-
SiC-based phase-shift dual half bridge DC-DC converter as a key component of multilevel cascaded MV converters
PublicationThe paper describes SiC-based dual half bridge (DHB) DC-DC converter considered as a key component of high frequency isolated multilevel cascaded medium voltage converters. Two topologies of bi-directional DC-DC converters: the resonant half-bridge DC-DC converter and the phase-shift DHB converter are compared in the paper. Experimental results of SiC-based 50 kHz DHB DC-DC converter are presented in the paper.
-
Introduction to the RSC Advances themed collection on nano and microscale modifications of biomaterials
PublicationThe dramatically increasing development of novel biomaterials, their manufacturing techniques, and surface modications, as well as their application in in vivo tests and clinical trials, is evident. It is interesting to note in what a relatively short time the well-known long-term implants have become medical standard: titanium dental implants started in 1965, and total hip arthroplasty (not very successful) was rst attempted...
-
Cognition and Decisional Experience to Support Safety Management in Workplaces
PublicationHazards are present in all workplaces and can result in serious injuries, short and long-term illnesses, or death. In this context, management of safety is essential to ensure the occupational health of workers. Aiming to assist the safety management process, especially in industrial environments, a Cognitive Vision Platform for Hazard Control (CVP-HC) is proposed. This platform is a Cyber Physical system, capable of identifying...
-
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection
PublicationComputational cost is an important consideration for memory encoding prediction models that use data from dozens of implanted electrodes. We propose a method to reduce computational expense by selecting a subset of all the electrodes to build the prediction model. The electrodes were selected based on their likelihood of measuring brain activity useful for predicting memory encoding better than chance (in terms of AUC). A logistic...
-
Enhanced photocatalytic, electrochemical and photoelectrochemical properties of TiO2 nanotubes arrays modified with Cu, AgCu and Bi nanoparticles obtained via radiolytic reduction
PublicationTiO2 nanotubes arrays (NTs), obtained via electrochemical anodization of Ti foil, were modified with monometallic (Cu, Bi) and bimetallic (AgCu) nanoparticles. Different amounts of metals’ precursors were deposited on the surface of NTs by the spin-coating technique, and the reduction of metals was performed via gamma radiolysis. Surface modification of titania was studied by EDS and XPS analysis. The results show that AgCu nanoparticles...
-
Janusz Cieśliński prof. dr hab. inż.
PeopleHe was born on April 15, 1954 in Slupsk. He graduated from the Faculty of Mechanical Engineering at Gdańsk University of Technology (1978). In 1986 he received the title of Doctor, in 1997 he obtained the title of Ph.D. with habilitation, and in 2006 he received the title of Professor. He worked as head of department and vice-dean for Education at the Faculty of Mechanical Engineering for two terms (2002-2008). His research interests...
-
Long-term measurements from a photovoltaic power plant and meteorological stations at the Laboratory LINTE^2 of Gdańsk University of Technology
Open Research Data1) The Laboratory LINTE^2 is a large research infrastructure operated by the Faculty of Electrical and Control Engineering at Gdańsk University of Technology, to be found in Gdańsk, Poland (54.3690 N, 18.6130 E). 2) The measurements have been collected from a photovoltaic power plant located on the roof of the laboratory, having total capacity...
-
Alternative Approach to Convolution Term of Viscoelasticity in Equations of Unsteady Pipe Flow
PublicationIn the paper the selected aspects concerning description of viscoelastic behavior of pipe walls during unsteady flow are analyzed. The alternative convolution expression of the viscoelastic term is presented and compared with the corresponding term referring to unsteady friction. Both approaches indicate similarities in the forms of impulse response functions and the parameter properties. The flow memory was introduced into convolution...
-
Computational Approaches to Modeling Artificial Emotion – An Overview of the Proposed Solutions
PublicationCybernetic approach to modeling artificial emotion through the use of different theories of psychology is considered in this paper, presenting a review of twelve proposed solutions: ActAffAct, FLAME, EMA, ParleE, FearNot!, FAtiMA, WASABI, Cathexis, KARO, MAMID, FCM, and xEmotion. The main motivation for this study is founded on the hypothesis that emotions can play a definite utility role of scheduling variables in the construction...
-
High Temperature Corrosion Evaluation of Porous Hastelloy X Alloy in Air and Humidified Hydrogen Atmospheres
PublicationIn this work a commercially available porous Hastelloy X alloy is characterized in terms of high temperature corrosion resistance. The alloy was oxidized in the temperature range from 500C to 900C in air and humidified hydrogen for 100 hours. Corrosion rates and porosity changes were measured. Microstructural characterization was performed using X-ray diffractometry and scanning electron microscopy. Results show that porous alloys...
-
Bibliometric analysis of artificial intelligence in wastewater treatment: Current status, research progress, and future prospects
PublicationWastewater treatment is an important topic for improving water quality and environmental protection, and artificial intelligence has become a powerful tool for wastewater treatment. This work provides research progress and a literature review of artificial intelligence applied to wastewater treatment based on the visualization of bibliometric tools. A total of 3460 publications from 2000 to 2023 were obtained from the Web of Science...
-
Towards Improving Optimised Ship Weather Routing
PublicationThe aim of the paper is to outline a project focusing on the development of a new type of ship weather routing solution with improved uncertainty handling, through better estimation of ship performance and responses to sea conditions. Ensemble forecasting is considered to take into account the uncertainty levels that are typical of operations in a stochastic environment. Increased accuracy of weather prediction is achieved through...
-
Distinct hippocampal-prefrontal neural assemblies coordinate memory encoding, maintenance, and recall
PublicationShort-term memory enables incorporation of recent experience into subsequent decision-making. This processing recruits both the prefrontal cortex and hippocampus, where neurons encode task cues, rules, and outcomes. However, precisely which information is carried when, and by which neurons, remains unclear. Using population decoding of activity in rat medial prefrontal cortex (mPFC) and dorsal hippocampal CA1, we confirm that mPFC...
-
pH-dependent composite coatings for controlled drug delivery system - Review
PublicationNowadays in case of long-term implants, the most common postoperative complications are bacterial infections, which in consequence may provoke loos- ening of the implants in the primary phase of stabilization. Bacterial infections are currently the most frequent cause of revision surgery of the implants such as hip joint endoprosthesis, knee joint endoprosthesis and dental implants. In order to provide the local and long-term antibacterial...
-
Application of Multiplicative Drift Correction and Component Correction methods on simulated gas sensor array responses
PublicationSensor response drift is one of the most challenging problems in gas-analyzing systems. Such systems, commonly called electronic noses, are expected to be reliable and reproducible in the long term. Due to the drift phenomena, electronic noses usability is limited to the relatively short period of time, and frequent recalibrations of device are required. Because it is very hard to fabricate sensors without drift, this phenomenon...
-
International Competitiveness of Czech Manufacturing: A Sectoral Approach with Error Correction Model
PublicationThe main objective of this paper is to find the determinants of the international competitiveness of the manufacturing sectors of the Czech economy, using the database of 13 manufacturing subsectors in 1995–2011, with the aid of ECM model. The authors research the question of how much foreign and domestic demand, the level of labour costs, the level of sector innovation intensity, the level of sector openness to foreign markets...
-
Ewa Wagner-Wysiecka dr hab. inż.
PeopleEwa Wagner-Wysiecka is a graduate of the Faculty of Chemistry at Gdańsk University of Technology (specializing in Chemical Technology, with a focus on Inorganic Technology and a sub-specialty in Technical and Industrial Analytics). She completed her master's thesis, entitled "Identification of Contaminants in Pharmacopoeial Sulfaquinoxaline," under the supervision of Professor Jan F. Biernat. After completing her master's degree...
-
Switching Regulation in the Control of 5-Phase Permanent Magnet Synchronous Motor Fed by 3×5 Direct Matrix Converter
PublicationMatrix converter is an AC-AC direct power converter comprising of an array of bi- directional switches. It does not require an intermediate DC-link and allows sinusoidal output waveforms with varying amplitudes and frequencies. The configuration of these bi- directional switches decides the number of inputs and outputs...
-
Aneta Sobiechowska-Ziegert dr
PeopleShe works at the Department of Statistics and Econometrics at the Faculty of Management and Economics. She is passionate about using modern teaching methods in quantitative subjects. She is a certified coach and tutor. She teaches courses in economic forecasting and spatial econometrics. She is also the chair of the Faculty's Quality of Education Committee and oversees the EMOS education track, certified by Eurostat. Currently,...
-
Ceria Based Protective Coatings for Steel Interconnects Prepared by Spray Pyrolysis
PublicationStainless steels can be used in solid oxide fuel/electrolysis stacks as interconnects. For successful long term operation they require protective coatings, that lower the corrosion rate and block chemical reactions between the interconnect and adjacent layers of the oxygen or the hydrogen electrode. One of the promising coating materials for the hydrogen side is ceria. Using standard sintering techniques, ceria sinters at around...
-
Massive Open Online Courses: strategies and research areas
PublicationThe latest education revolution, the massive open online courses (MOOCs), is gaining momentum, accolades, and participation across industry and academia. These learning laboratory behemoths host and assess tens to hundreds of thousands of students in a single class, for free. Similar to their scope, MOOCs’ short- and long-term educational implications seem massive. Immediate MOOC educational outcomes vary widely from roaring successes...
-
Justyna Szostak dr inż.
PeopleI Gdańsk University of Technology: Chair of the Rector’s Internationalization Committee (October 2020 - Present) Erasmus + Coordinator for students and staff members, Faculty of Applied Physics and Mathematics (Mar 2017 - Present) Dean's Proxy for Internationalization, Faculty of Applied Physics and Mathematics (October 2020 - Present) Coordinator of the International Relations Office of the Faculty of Applied Physics and...
-
An Evaluation Engine for Dynamic Ranking of Cloud Providers
PublicationThe paper focuses on creation of an effective dynamic ranking service for IaaS, PaaS and SaaS cloud providers. It considers building a quality model for this purpose along with definition of quality measure- ment procedures. The paper discusses several techniques known from already existing price comparison engines that could be modified and adopted for comparison of cloud providers. A technique for filtering measured data is proposed,...