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Search results for: MEMORY AND COGNITION
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Automatic recognition of the arterial input function in MRI studies
PublicationArtykuł prezentuje opis automatycznej metody detekcji tętniczej funkcji wejście (AIF). Metoda została porównana z klinicznie pomierzonymi seriami obrazów DSC-MRI.
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Cryogenic Treatment Effect on Cyclic Behavior of Ni54Ti46 Shape Memory Alloy
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Oxide layers fabricated by spray pyrolysis for resistance random access memory
PublicationW pracy zbadano przydatność pirolizy aerozolowej do wytwarzania warstw dla memrystorów.
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The design of the prosthetic index finger actuated by shape memory alloy wires
PublicationZaprezentowano projekt palca wskazującego protezy ręki, w którym poszczególne człony napędzane są za pomocą niekonwencjonalnych efektorów - stopów metali z pamięcią kształtu (SMA - NiTi).
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Hotspot of human verbal memory encoding in the left anterior prefrontal cortex
PublicationBackground: Treating memory and cognitive deficits requires knowledge about anatomical sites and neural activities to be targeted with particular therapies. Emerging technologies for local brain stimulation offer attractive therapeutic options but need to be applied to target specific neural activities, at distinct times, and in specific brain regions that are critical for memory formation. Methods: The areas that are critical...
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Interrelated shape memory and Payne effect in polyurethane/graphene oxide nanocomposites
PublicationWe report the fabrication of graphene oxide (GO) based polyurethane (PU) nanocomposites by a simple method of mixing and their shape memory properties at different temperatures. Both the polymer and the filler were synthesized in the laboratory by simple and easy methods – PU by pre-polymer method and GO by improved graphene oxide synthesis method. High molecular level dispersion of GO platelets within the PU matrix and thus good...
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Direct brain stimulation modulates encoding states and memory performance in humans
PublicationPeople often forget information because they fail to effectively encode it. Here, we test the hypothesis that targeted electrical stimulation can modulate neural encoding states and subsequent memory outcomes. Using recordings from neurosurgical epilepsy patients with intracranially implanted electrodes, we trained multivariate classifiers to discriminate spectral activity during learning that predicted remembering from forgetting,...
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Electrical Stimulation Modulates High Gamma Activity and Human Memory Performance
PublicationDirect electrical stimulation of the brain has emerged as a powerful treatment for multiple neurological diseases, and as a potential technique to enhance human cognition. Despite its application in a range of brain disorders, it remains unclear how stimulation of discrete brain areas affects memory performance and the underlying electrophysiological activities. Here, we investigated the effect of direct electrical stimulation...
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Human verbal memory encoding is hierarchically distributed in a continuous processing stream
PublicationProcessing of memory is supported by coordinated activity in a network of sensory, association, and motor brain regions. It remains a major challenge to determine where memory is encoded for later retrieval. Here we used direct intracranial brain recordings from epilepsy patients performing free recall tasks to determine the temporal pattern and anatomical distribution of verbal memory encoding across the entire human cortex. High...
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Process of self-ignition engine loads and its properties
PublicationW artykule zaproponowano probabilistyczną interpretację obciążenia silników spalinowych o zapłonie samoczynnym z uwzględnieniem znanych parametrów (wskaźników) ich pracy. Wykazano, że obciążenie tego rodzaju silników, rozpatrywane w dowolnej chwili, może być uważane za zmienną losową wielowymiarową. Zmiany obciążenia silnika w czasie jego pracy uznane zostały za proces obciążeń i przedstawione w formie wielowymiarowego procesu...
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A probabilistic concept of load assessment of self-ignition engines
PublicationPrzedstawiono propozycję probabilistycznej interpretacji obciążenia silników spalinowych o zapłonie samoczynnym. Zaproponowano probabilistyczny opis obciążenia tych silników z uwzględnieniem znanych parametrów (wskaźników) ich pracy. Wykazano, że obciążenie tego rodzaju silników, rozpatrywane w dowolnej chwili, może być uważane za zmienną losową. Zwrócono uwagę, że obciążenie to może być uważane za zmienną losową wielowymiarową....
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Experiments on compression ignition engine powered by nano-fuels
PublicationThe use of nanoparticles in fuels provides new opportunities for modification of fuel properties, which may affect the operational parameters of engines, in particular the efficiency and fuel consumption. The paper presents comparison of compression ignition engine performance fuelled with neat diesel and nano-diesel. Alumina (Al2O3) was used as nanoparticles. Surface-active substances, including Span 80 surfactant, as well as...
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DME as alternative fuel for compression ignition engines – a review
PublicationThe ecological issues and the depletion of crude oil, has led the researchers to seeking for non-petroleum based alternative fuels, along with more advanced combustion technologies, and after-treatment systems. The use of clean alternative fuels is the one of the most perspective method that aiming at resolving of the said issues. One of the promising alternative fuels that can be used as a clean highefficiency compression ignition...
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Paid work activity and entrepreneurial cognitions of students – evidence from European emerging economies
PublicationPurpose – This paper aims to investigate whether paid work activity (PWA) experience of students from five emerging economies is related to academic results and self-assessment of possessed entrepreneurial traits. Additionally, the authors verify the relationship between obtaining work experience and the willingness to start own business among students. Design/methodology/approach – Participants included 3,631 students of the first...
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Cointegration Modelling for Health and Condition Monitoring of Wind Turbines - An Overview
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Operational Condition Monitoring of Wind Turbines Using Cointegration Method
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Preliminary Study on Automatic Recognition of Spatial Expressions in Polish Texts
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Poll Reader - the working prototype of optical mark recognition software
PublicationAutomatyczne rozpoznawanie zaznaczeń wydaje się stosunkowo prostym zadaniem z dziedziny przetwarzania dokumentów, a komercyjne systemy OMR są dostępne na rynku już od dłuższego czasu. Zdecydowaliśmy się jednak na stworzenie prostego darmowego oprogramowania, które mogłoby być wykorzystywane przez uczelnie zobowiązane do przeprowadzania ankiet wśród studentów. W rozdziale opisano konstrukcję programu oraz najważniejsze algorytmy...
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Optimization of condition for demineralization Baltic cod (Gadus morhua) backbone
PublicationKręgosłupy dorsza bałtyckiego (Gadus morhua) są alternatywnym źródłem kolagenu. Aby uzyskać z nich natywny niezanieczyszczony kolagen należy usunąć z nich białka mięśniowe i sole mineralne. Obecność tych związków pogarsza funkcjonalne właściwości preparatu kolagenowego. Dlatego celem pracy było opracowanie optymalnych parametrów demineralizacji kręgosłupów dorsza. Najlepszy efekt demineralizacji, nieomal 100%, przy stratach tylko...
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Blur recognition using second fundamental form of image surface
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Auditory-model based robust feature selection for speech recognition
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Evaluation and characterisation of the condition of individual components of cathodic protection systems
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A Method and Device for 3D Recognition of Cutting Edge Micro Geometry
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Face recognition by humans with gaze-tracking system Cyber-Eye
PublicationW celu dokładniejszego zrozumienia sposobu rozpoznawania i zapamiętywania twarzy przez człowieka przeprowadzono doświadczenie na grupie 20 osób z wykorzystaniem wcześniej opracowanego systemu śledzenia fiksacji wzroku Cyber-Oko [3]. Wykorzystując diody i kamerę podczerwieni wraz z dedykowanym oprogramowaniem Cyber-Oko, które pozwala na śledzenie punktu skupienia wzroku na ekranie. Każdej osobie biorącej udział w doświadczeniu pokazano...
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Lip movement and gesture recognition for a multimodal human-computer interface
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The use of spectrometric diagnostics in identification of the technical condition of tribological systems
PublicationThe paper presents, as an effect of the analysis of investigation results, a possibility of using the spectrometric diagnostics in the tribological system technical condition supervision arrangement. A model, based on the emission of solid particles in tribological system operation, allows to identify the system technical condition. After the analysis of tests carried out with the use of that model, it has been found that the content...
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Automatic Singing Voice Recognition EmployingNeural Networks and Rough Sets
PublicationCelem badań jest automatyczne rozpoznawanie głosów śpiewaczych w kategorii rodzaju i jakości technicznej śpiewu. W artykule opisano stworzoną bazę danych głosów, która zawiera próbki głosu śpiewaków profesjonalnych i amatorskich. W dalszej części opisano parametry zdefiniowane w oparciu o zjawiska biomechaniczne w narządzie głosu podczas śpiewania. W oparciu o stworzone macierze parametrów wytrenowano i porównano automatyczne klasyfikatory...
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Automatic singing quality recognition employing artificial neural networks
PublicationCelem artykułu jest udowodnienie możliwości automatycznej oceny jakości technicznej głosów śpiewaczych. Pokrótce zaprezentowano w nim stworzoną bazę danych głosów śpiewaczych oraz zaimplementowane parametry. Przy pomocy sztucznych sieci neuronowych zaprojektowano system decyzyjny, który oceniono w pięciostopniowej skali jakość techniczną głosu. Przy pomocy metod statystycznych udowodniono, że wyniki generowane przez ten system...
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Accelerometer signal pre-processing influence on human activity recognition
PublicationA study of data pre-processing influence on accelerometer-based human activity recognition algorithms is presented. The frequency band used to filter-out the accelerometer signals and the number of accelerometers involved were considered in terms of their influence on the recognition accuracy.
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Hand gesture recognition supported by fuzzy rules and Kalman filters
PublicationThe paper presents a system based on camera and multimediaprojector enabling a user to control computer applications by dynamic hand gestures. Gesture recognition methodology based on representing hand movement trajectory by motion vectors analysed using fuzzy rule-based inference is first given. For effective hand position tracking Kalman filters are employed. The system engineered is developed using J2SE and C++/OpenCV technology....
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Recognition of social health: A conceptual framework in the context of dementia research
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The usfulness of the SLUMS test for diagnosis of mild cognitive impairment and dementia
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The Quality of Life and Psychological, Social and Cognitive Functioning of Patients with Acromegaly
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Evaluation and characterisation of the condition of individual components of cathodic protection systems.
PublicationPrzedstawiono wyniki badań wykonanych na pracującej instalacji ochrony katodowej dwóch podziemnych zbiorników LPG. Sprawność anod i zakopanych elektrod odniesienia oceniono wykorzystując technikę elektrochemicznych pomiarów impedancyjnych. Na podstawie uzyskanych widm impedancyjnych stwierdzono niesprawność jednej z anod przyłączonych do długiej linii anodowej. Przedstawiono także mapę rozkładu potencjału chronionych zbiorników....
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Calix[4]arene phosphonates - recognition of amino alcohols in water.
PublicationOpracowano syntezę nowych rozpuszczalnych w wodzie pochodnych kaliks[4]arenów posiadających grupy fosfonowe w górnej części pierścieni aromatycznych. Zaprezentowano wyniki kompleksowania tych gospodarzy aminoalkoholi takich jak efedryna, norefedryna i noradrenalina.
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Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review
PublicationThe automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...
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Systematic Literature Review for Emotion Recognition from EEG Signals
PublicationResearchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...
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Cognitive motivations and foundations for building intelligent decision-making systems
PublicationConcepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in...
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Systematic Literature Review for Emotion Recognition from EEG Signals
PublicationResearchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...
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Local Texture Pattern Selection for Efficient Face Recognition and Tracking
PublicationThis paper describes the research aimed at finding the optimal configuration of the face recognition algorithm based on local texture descriptors (binary and ternary patterns). Since the identification module was supposed to be a part of the face tracking system developed for interactive wearable computer, proper feature selection, allowing for real-time operation, became particularly important. Our experiments showed that it is...
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Accelerometer-based Human Activity Recognition and the Impact of the Sample Size
PublicationThe presented study focused on the recognition of eight user activities (e.g. walking, lying, climbing stairs) basing on the measurements from an accelerometer embedded in a mobile device. It is assumed that the device is carried in a specific location of the user’s clothing. Three types of classifiers were tested on different sizes of the samples. The influence of the time window (the duration of a single trial) on selected activities...
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Necessary and Sufficient Condition for State-Independent Contextual Measurement Scenarios
PublicationThe problem of identifying measurement scenarios capable of revealing state-independent contextuality in a given Hilbert space dimension is considered. We begin by showing that for any given dimension d and any measurement scenario consisting of projective measurements, (i) the measure of contextuality of a quantum state is entirely determined by its spectrum, so that pure and maximally mixed states represent the two extremes...
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A Method and Device for 3D Recognition of Cutting Edge Micro Geometry
PublicationA very useful method was successfully applied in the investigation of tools for machining wood and wood based composites. It allows scanning of the cutting edge micro geometry in three dimensions and reproducing it in a virtual space as a 3D surface. The application of the method opens new possibilities of studying tool wear by scanning, including the calculation of volume loss and other analysis of tool wedge geometry along and...
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On the durability of the hydraulic satellite motor working mechanism in overload condition
PublicationThe paper presents the newest construction of the hydraulic satellite pump/motor. In this study, the fracture of the hydraulic satellite motor working mechanism is investigated. Factors influencing the durability of satellite working mechanism have been described. The durability of the hydraulic satellite motor working mechanism at a load, corresponding to a pressure of 15 MPa supplied with refined rapeseed oil is very low. Analyses...
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Spectral Finite Element Method in Condition Monitoring and Damage Detection
PublicationIt is well known that the dynamic behaviour of engineering structures may carry very important and crucial information that can be further used for the assessment of their condition as well as detection of any damage induced. The current interest in monitoring techniques based on the propagation of guided elastic waves requires that numerical techniques used for modelling the phenomena associated must shift into the realm of high...
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Limitations of Emotion Recognition in Software User Experience Evaluation Context
PublicationThis paper concerns how an affective-behavioural- cognitive approach applies to the evaluation of the software user experience. Although it may seem that affect recognition solutions are accurate in determining the user experience, there are several challenges in practice. This paper aims to explore the limitations of the automatic affect recognition applied in the usability context as well as...
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The Most Valuable Global Brands and Condition of Economies: a Spatial Approach
PublicationResearch background: Brands are considered to be the most valuable asset of a company. Some of them achieve spectacular global results. The significance of global brands is proved by the fact that their value is often greater than the sum of all company’s net assets. Purpose of the article: The aim of this article is to highlight that brand value does not only create company’s value but also leverages economies. We claim that even though...
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Pose classification in the gesture recognition using the linear optical sensor
PublicationGesture sensors for mobile devices, which have a capability of distinguishing hand poses, require efficient and accurate classifiers in order to recognize gestures based on the sequences of primitives. Two methods of poses recognition for the optical linear sensor were proposed and validated. The Gaussian distribution fitting and Artificial Neural Network based methods represent two kinds of classification approaches. Three types...
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Constructing autonomous agents using the cognitive-emotional architecture of the mind
PublicationThe article discusses an important issue regarding the humanoid aspects of modern science related to the autonomy of systems and robotization. Particular attention is paid to the basic aspects of cognitive architecture. After a short introduction, the Intelligent Decision Making System, developed at the ETI Faculty of the Gdańsk University of Technology, is described.
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Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence
PublicationCognitive Vision Systems have gained significant attention from academia and industry during the past few decades. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes (which environmental conditions may vary), adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination...