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Wyniki wyszukiwania dla: Cognition
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Anion recognition by α-arylazo-N-confused calix[4]pyrroles
PublikacjaZsyntezowano nowe azowe pochodne N-odwróconych kaliks[4]piroli na drodze sprzęgania z różnymi solami arylodiazoniowymi. Zbadano zdolność kompleksowania anionów w chlorku metylenu oraz w acetonitrylu przez otrzymane związki z zastosowaniem spektrofotometrii UV-Vis.
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A Chemical Recognition Element for Lithium Ions Based on Optical Electronic Absorption.
PublikacjaOtrzymano próbki kserożeli techniką zol-żel. Otrzymane materiały zastosowano do konstrukcji czujników optycznych. Rolę elementu rozpoznającego w uzyskanych próbkach pełnią chromogeniczne etery koronowe zawierające w makro pierścieniu dwie grupy azowe oraz resztę fenolu. W obecności soli metali I grupy układ u okresowego obserwowano zmiany w widmach absorpcyjnych. Dla matrycy zawierającej jako materiał czujnikowy 21-członową...
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Neural Network Application for Recognition of Geometry Degradation of Power Cycle Components
PublikacjaPrzedyskutowano problem rozpoznawania degradacji geometrycznej. Skuteczne zastosowanie wybranego typu sieci neuronowej (SSN) jest prezentowane w referacie. SSN wykrywająca typy degradacji geometrycznej wykazała wysoką jakość. Pokazano pewną możliwość ekstrapolacji takich SSN. Pokazano możliwość wykrywania typów degradacji geometrycznej nawet w przypadku pozyskiwania niepełnych danych pomiarowych.
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On the possibility of molecular recognition of taste substances studied by Gabor analysis of oscillations
PublikacjaBadano wpływ substancji odpowiedzialnych za wrażenia smakowe należące do czterech klas smaku (słodki, słony, gorzki i kwaśny) na charakterystyki oscylacyjne w nitrometanowym oscylatorze zawierającym kationowy surfaktant: chlorek benzylodimetylotetradecyloamoniowy. Zapropnowano nowe podejście oparte o transformację Gabora za pomocą której otrzymano widma mocy dla posczególnych układów. Wykazano, że dwuwymiarowa forma tych widm może...
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Selected aspects of customization of cognitive dimensions for evaluation of visual modeling languages.
PublikacjaFor the successful application of diagrams in software engineering, high quality visual modelling languages (VML) are required. There is a need for new effective methodologies of VML evaluation. This paper discusses selected aspects of applying cognitive dimensions as a basis of the evaluation. Then, it briefly presents CD-VML methodology which integrates the cognitive dimensions with a theory of visual modelling languages. Finally,...
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Emotion Recognition from Physiological Channels Using Graph Neural Network
PublikacjaIn recent years, a number of new research papers have emerged on the application of neural networks in affective computing. One of the newest trends observed is the utilization of graph neural networks (GNNs) to recognize emotions. The study presented in the paper follows this trend. Within the work, GraphSleepNet (a GNN for classifying the stages of sleep) was adjusted for emotion recognition and validated for this purpose. The...
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Exploring Stock Traders’ Cognitive Biases: Research Design and Simulator Framework
PublikacjaCognitive bias is a phenomenon that has been extensively studied in stock trading and many other fields. This paper presents a framework for a Mobile Stock Trading Simulator (MSTS) that facilitates automatic investment in stocks with minimal human influence, by investigating the behavioral patterns and cognitive errors of stock market investors. The paper aims to determine whether investors’ investment strategies can be improved...
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Recognition of Emotions in Speech Using Convolutional Neural Networks on Different Datasets
PublikacjaArtificial Neural Network (ANN) models, specifically Convolutional Neural Networks (CNN), were applied to extract emotions based on spectrograms and mel-spectrograms. This study uses spectrograms and mel-spectrograms to investigate which feature extraction method better represents emotions and how big the differences in efficiency are in this context. The conducted studies demonstrated that mel-spectrograms are a better-suited...
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Deep Learning: A Case Study for Image Recognition Using Transfer Learning
PublikacjaDeep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...
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Cognitive neuroscience: Theta network oscillations coordinate development of episodic memory
PublikacjaOur ability to remember life events matures through childhood and adolescence. A new study has revealed how theta oscillations between two anatomical brain regions supporting memory and executive functions are synchronized and develop across age through functional and structural connectivity.
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Feasibility Study for Food Intake Tasks Recognition Based on Smart Glasses
PublikacjaIn this exploratory study 13 adult test subjects have performed different food intake tasks while wearing a three axis accelerometer mounted at a temple of glasses. Two different algorithms for task recognition have been applied and compared. The retrospective data processing leads to better task recognition results when the frequency range of 50 Hz to 100 Hz is analysed within accelerometer signal recordings. A straightforward...
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Acquisition and indexing of RGB-D recordings for facial expressions and emotion recognition
PublikacjaIn this paper KinectRecorder comprehensive tool is described which provides for convenient and fast acquisition, indexing and storing of RGB-D video streams from Microsoft Kinect sensor. The application is especially useful as a supporting tool for creation of fully indexed databases of facial expressions and emotions that can be further used for learning and testing of emotion recognition algorithms for affect-aware applications....
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CAPABILITY OF IDENTIFYING AND PREDICTING THE TECHNICAL CONDITION OF PLATE HEAT EXCHANGERS IN OPERATION
PublikacjaThe paper presents a test stand for plate heat exchangers, allowing to identify the technical condition and to predict durability of the heat exchangers used aboard the sea-going ships: ”Oceanograf”, ”Władysław Orkan”and a passenger-car ferry, under the condition that they are of the same type and manufactured by the same company. In the first part three different installations with plate heat exchangers in the engine rooms...
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Bass Enhancement Settings in Portable Devices Based on Music Genre Recognition
PublikacjaThe paper presents a novel approach to the Virtual Bass Synthesis (VBS) applied to mobile devices, called Smart VBS (SVBS). The proposed algorithm uses an intelligent, rule-based setting of bass synthesis parameters adjusted to the particular music genre. Harmonic generation is based on a nonlinear device (NLD) method with the intelligent controlling system adapting to the recognized music genre. To automatically classify music...
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Educational and cognitive aspects of adaptation of nonuse spaces in monumental sacral objects.
PublikacjaThe area of attics and towers in historic churches in Europe are yet quite inaccessible places for visitors, shrouded in the atmosphere of mysticism, hiding many secrets. Introduction of the new public function into the non-used zones of the monumental sacral objects has many aspects including educational and cognitive ones which are discussed in the following article. The article indicates items that can be found in the zone above...
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Verification of the Parameterization Methods in the Context of Automatic Recognition of Sounds Related to Danger
PublikacjaW artykule opisano aplikację, która automatycznie wykrywa zdarzenia dźwiękowe takie jak: rozbita szyba, wystrzał, wybuch i krzyk. Opisany system składa się z bloku parametryzacji i klasyfikatora. W artykule dokonano porównania parametrów dedykowanych dla tego zastosowania oraz standardowych deskryptorów MPEG-7. Porównano też dwa klasyfikatory: Jeden oparty o Percetron (sieci neuronowe) i drugi oparty o Maszynę wektorów wspierających....
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Human-Computer Interface Based on Visual Lip Movement and Gesture Recognition
PublikacjaThe multimodal human-computer interface (HCI) called LipMouse is presented, allowing a user to work on a computer using movements and gestures made with his/her mouth only. Algorithms for lip movement tracking and lip gesture recognition are presented in details. User face images are captured with a standard webcam. Face detection is based on a cascade of boosted classifiers using Haar-like features. A mouth region is located in...
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Context-Aware Indexing and Retrieval for Cognitive Systems Using SOEKS and DDNA
PublikacjaVisual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing...
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Improving Traffic Light Recognition Methods using Shifting Time-Windows
PublikacjaWe propose a novel method of improving algorithms recognizing traffic lights in video sequences. Our focus is on algorithms for applications which notify the driver of a light in sight. Many existing methods process images in the recording separately. Our method bases on the observation that real-life videos depict underlying continuous processes. We named our method FSA (Frame Sequence Analyzed). It is applicable for any underlying...
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Analysis of 2D Feature Spaces for Deep Learning-based Speech Recognition
Publikacjaconvolutional neural network (CNN) which is a class of deep, feed-forward artificial neural network. We decided to analyze audio signal feature maps, namely spectrograms, linear and Mel-scale cepstrograms, and chromagrams. The choice was made upon the fact that CNN performs well in 2D data-oriented processing contexts. Feature maps were employed in the Lithuanian word recognition task. The spectral analysis led to the highest word...
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Cognitive engineering and functional safety technology for reducing risks in hazardous plants
PublikacjaCognitive engineering is considered nowadays as interesting multidisciplinary domain that focuses on improving the relations between humans and the systems that are supervised and operated. The industrial automation and control systems (IACS) in hazardous plants are increasingly computerized and perform various safety functions. These are designed and implemented according to the functional safety concept. The objective is to maintain...
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From Knowledge based Vision Systems to Cognitive Vision Systems: A Review
PublikacjaComputer vision research and applications have their origins in 1960s. Limitations in computational resources inherent of that time, among other reasons, caused research to move away from artificial intelligence and generic recognition goals to accomplish simple tasks for constrained scenarios. In the past decades, the development in machine learning techniques has contributed to noteworthy progress in vision systems. However,...
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Applying of thin plate boundary condition in analysis of ship’s magnetic field
PublikacjaThis paper presents computer simulations of ship’s magnetic signatures using a new thin plate boundary condition implemented in the Opera-3d 18R2 program. The paper aims to check the magnetic signatures’ numerical calculations precision of objects using the thin plate boundary conditions and analysis of the magnetic signature of ship with a degaussing system and with and without inner devices.
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From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition
PublikacjaRecently gathered image datasets and the new capabilities of high-performance computing systems have allowed developing new artificial neural network models and training algorithms. Using the new machine learning models, computer vision tasks can be accomplished based on the raw values of image pixels instead of specific features. The principle of operation of deep neural networks resembles more and more what we believe to be happening...
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Embodying Intelligence in Autonomous Systems with the Use of Cognitive Psychology and Motivation Theories
PublikacjaThe article discusses, on a certain level of abstraction and generalization, a coherent anthropological approach to the issue of controlling autonomous robots or agents. A contemporary idea can be based on appropriate modeling of the human mind using the available psychological knowledge. One of the main reasons for developing such projects is the lack of available and effective top-down approaches resulting from the known research...
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Comparison of Acoustic and Visual Voice Activity Detection for Noisy Speech Recognition
PublikacjaThe problem of accurate differentiating between the speaker utterance and the noise parts in a speech signal is considered. The influence of utilizing a voice activity detection in speech signals on the accuracy of the automatic speech recognition (ASR) system is presented. The examined methods of voice activity detection are based on acoustic and visual modalities. The problem of detecting the voice activity in clean and noisy...
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Limitations of Emotion Recognition from Facial Expressions in e-Learning Context
PublikacjaThe paper concerns technology of automatic emotion recognition applied in e-learning environment. During a study of e-learning process the authors applied facial expressions observation via multiple video cameras. Preliminary analysis of the facial expressions using automatic emotion recognition tools revealed several unexpected results, including unavailability of recognition due to face coverage and significant inconsistency...
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Spectrum Sensing Based on Hybrid Spectrum Handoff in Cognitive Radio Networks
PublikacjaThe rapid advancement of wireless communication combined with insufficient spectrum exploitation opens the door for the expansion of novel wireless services. Cognitive radio network (CRN) technology makes it possible to periodically access the open spectrum bands, which in turn improves the effectiveness of CRNs. Spectrum sensing (SS), which allows unauthorized users to locate open spectrum bands, plays a fundamental part in CRNs....
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Pro-Cognitive Properties of the Immunomodulatory Polypeptide Complex, Yolkin, from Chicken Egg Yolk and Colostrum-Derived Substances: Analyses Based on Animal Model of Age-Related Cognitive Deficits
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Erratum to: Pro-Cognitive Properties of the Immunomodulatory Polypeptide Complex, Yolkin, from Chicken Egg Yolk and Colostrum-Derived Substances: Analyses Based on Animal Model of Age-Related Cognitive Deficits
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Model of process of wear sidle bearings of self ignition combustion engine
PublikacjaW artykule została podjęta próba przeanalizowania praktycznej przydatności modelu procesu zużycia głównych łożysk ślizgowych silnika spalinowego o ZS, opisującego zmienną szybkość ich zużycia. Analizie został poddany problem częstych zatrzymań i rozruchów silnika, gdyż z badań statystycznych wynika, że w tym czasie występuje największe zużycie łożysk ślizgowych.
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Application of Syntactic Pattern Recognition Approach in Design and Optimisation of Group Machining Systems
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Evaluation of inverted pavement by structural condition indicators from falling weight deflectometer
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Coping styles and symptomatic manifestation of first-episode psychosis: Focus on cognitive performance
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The improvement of cognitive deficits after whole-body cryotherapy – A randomised controlled trial
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Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review
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Brain-Inspired Deep Networks for Facial Expression Recognition. Frontiers in Biomedical Technologies
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Fluorescent Molecular Cages with Sucrose and Cyclotriveratrylene Units for the Selective Recognition of Choline and Acetylcholine
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On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines
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An overview of torque meters and new devices development for condition monitoring of mining machines
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A new approach for an automatic assessment of a neurological condition employing hand gesture classification
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Anion recognition by phosphonium calix[4]arens: synthesis and physico-chemical studies
Publikacjap-tert-butylcalix[4]arenes in the cone conformation, di-and tetra substituted at the narrow rim with charged phosphonium groups have been synthesies and characterised.
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Evaluation of Multimedia Stream Processing Modeling Language from the Perspective of Cognitive Dimensions
PublikacjaW referacie zawarto opis zastosowania wymiarów poznawczych do oceny języka modelowania przetwarzania strumieni multimedialnych, nazwanego MSP-ML, w trakcie tworzenia tego języka. Poszczególne części referatu prezentują kontekst i motywacje oceny MSP-ML, metodę oceny, rezultaty oceny oraz porównanie rezultatów oceny z wynikami otrzymanymi za pomocą innych metod oceny języków modelowania wizualnego.
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Structural determinants of imidazoacridinones facilitating antitumor activity are crucial for substrate recognition by ABCG2
PublikacjaW pracy zidentyfikowaliśmy elementy struktury chemicznej dla 23 pochodnych imidazoakrydonu odpowiedzialne za ich rozpoznawanie przez transporter typu ABC, białko ABCG2. za transport tych związków przez pompę ABCG2 odpowiedzialne jest grupa hydroksylowa w pozycjach R1, R2 i R3 chromoforu. Stwierdziliśmy także, że zwiększanie ilości grup metylenowych łańcucha bocznego imidazoakrydonów powodowało zmniejszenie aktywnego transportu...
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Application of Syntactic Pattern Recognition Approach in Design and Optimisation of Group Machining Systems
PublikacjaRozwinięto koncepcję budowy zoptymalizowanych struktur systemów wytwarzania grupowego spektrum części z wykorzystaniem modelu analizy syntaktycznej sekwencji operacji ich procesów technologicznych. Określono formułę metryki odległościowej opisu stopnia zróżnicowania marszrut indywidualnych procesów oraz testowano jej skuteczność w aspekcie eksploracji wielowymiarowych danych i klasteryzacji obiektów wg cech wymagań technologicznych....
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Fuzzy rule-based dynamic gesture recognition employing camera & multimedia projector
PublikacjaIn the paper the system based on camera and multimedia projector enabling a user to control computer applications by dynamic hand gestures is presented. The main objective is to present the gesture recognition methodology which bases on representing hand movement trajectory by motion vectors analyzed using fuzzy rule-based inference. The approach was engineered in the system developed with J2SE and C++ / OpenCV technology. OpenCV...
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Combining visual and acoustic modalities to ease speech recognition by hearing impaired people
PublikacjaArtykuł prezentuje system, którego celem działania jest ułatwienie procesu treningu poprawnej wymowy dla osób z poważnymi wadami słuchu. W analizie mowy wykorzystane zostały parametry akutyczne i wizualne. Do wyznaczenia parametrów wizualnych na podstawie kształtu i ruchu ust zostały wykorzystane modele Active Shape Models. Parametry akustyczne bazują na współczynnikach melcepstralnych. Do klasyfikacji wypowiadanych głosek została...
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Enantiomeric self-recognition of a facial amphiphile triggered by [{Pd(ONO2)(en)}2]
PublikacjaOpisano syntezę pochodnych glikolurylu tworzących dimeryczne struktury w roztworze wodnym prowadzące do samorozpoznania enancjomerycznego. Struktury te uzyskano dzięki koordynacji do [{Pd(ONO2)(en)}2].
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Cognitive dimensions questionnaire applied to visual modelling language evaluation - a case study.
PublikacjaW celu osiągnięcia większej dojrzałości w inżynierii języków modelowania wizualnego, wymagane są skuteczne metody oceny języków modelowania wizualnego.W artykule zaprezentowano studium przypadku zastosowania ankiety wymiarów poznawczych do oceny UML wspomaganego przez narzędzia CASE. Metoda obejmuje dyskusję zastosowania wymiarów poznawczych do tego celu oraz wyniki badań empirycznych.
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Ontological Model for Contextual Data Defining Time Series for Emotion Recognition and Analysis
PublikacjaOne 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...