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Wyniki wyszukiwania dla: NEURONAL OSCILLATIONS
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 50 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 25 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 100 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 500 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 200 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 25 mm piston rod diameter and 25 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 500 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 25 mm piston rod diameter and 50 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 100 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 50 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 100 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 500 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 100 mm piston diameter, 32 mm piston rod diameter and 200 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 100 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 12 mm piston rod diameter and 200 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 32 mm piston diameter, 14 mm piston rod diameter and 50 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Simulation of a linear pneumatic actuator with 63 mm piston diameter, 25 mm piston rod diameter and 25 mm stroke
Dane BadawczeThe aim of the simulation was to determine the dynamics of linear pneumatic actuators with different sizes and flow properties. The simulation used the actuator dynamics model as described in [1] and the St Venant - Wantzel's mass flow rate model. The simulation experiment was to calculate the pressure changes in both chambers of the actuator as well...
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Strategie treningu neuronowego estymatora częstotliwości tonu krtaniowego z użyciem generatora syntetycznych samogłosek
PublikacjaW wielu zastosowaniach telekomunikacyjnych pojawia się problem przetwarzania lub analizy sygnału mowy, w ramach którego, często w obszarze podstawowych algorytmów, stosuje się estymator częstotliwości tonu krtaniowego. Estymator rozpatrywany w tej pracy bazuje na neuronowym klasyfikatorze podejmującym decyzje na podstawie częstotliwości oraz mocy chwilowej wyznaczanych w podpasmach analizowanego sygnału mowy. W pracy rozważamy...
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Efkleidis Katsaros
OsobyEfklidis Katsaros received the B.Sc. degree in mathematics from the Aristotle University of Thessaloniki, Greece, in 2016, and the M.Sc. degree (cum laude) in data science: statistical science from Leiden University, The Netherlands, in 2019. He is currently pursuing the Ph.D. degree in deep video multi-task learning with the Department of Biomedical Engineering, Gdańsk University of Technology, Poland. Since 2020, he has been...
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The Use of an Autoencoder in the Problem of Shepherding
PublikacjaThis paper refers to the problem of shepherding clusters of passive agents consisting of a large number of objects by a team of active agents. The problem of shepherding and the difficulties that arise with the increasing number of data describing the location of agents have been described. Several methods for reducing the dimensionality of data are presented. Selected autoencoding method using a Restricted Boltzmann Machine is...
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Collaborative Data Acquisition and Learning Support
PublikacjaWith the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...
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Signal Processing in the Investigation of Two-phase Liquid-gas Flow by Gamma-ray Absorption
Publikacjan this paper, the use of the gamma-absorption method applied in the investigation of the two-phase liquid-gas flow in the pipeline is described. An example of its application to the air transported by water in a horizontal pipeline is evaluated. In the measurements, Am-241 radioactive sources and probes with Nal (Tl) scintillation crystals have been used. The signals from the radiometric set were used to determine the velocity...
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Evaluating Performance and Accuracy Improvements for Attention-OCR
PublikacjaIn this paper we evaluated a set of potential improvements to the successful Attention-OCR architecture, designed to predict multiline text from unconstrained scenes in real-world images. We investigated the impact of several optimizations on model’s accuracy, including employing dynamic RNNs (Recurrent Neural Networks), scheduled sampling, BiLSTM (Bidirectional Long Short-Term Memory) and a modified attention model. BiLSTM was...
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KEMR-Net: A Knowledge-Enhanced Mask Refinement Network for Chromosome Instance Segmentation
PublikacjaThis article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (NK-DNA) to capture the semantics of the chromosome’s shape, texture, and key points, and then it uses the captured knowledge to improve the accuracy and smoothness of the masks. We validate the method’s effectiveness on our latest high-resolution chromosome...
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Comparison of image pre-processing methods in liver segmentation task
PublikacjaAutomatic liver segmentation of Computed Tomography (CT) images is becoming increasingly important. Although there are many publications in this field there is little explanation why certain pre-processing methods were utilised. This paper presents a comparison of the commonly used approach of Hounsfield Units (HU) windowing, histogram equalisation, and a combination of these methods to try to ascertain what are the differences...
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Video of LEGO bricks on conveyor belt - slopes, arcs and rainbows
Dane BadawczeThe set contains videos of LEGO bricks (slopes, arcs and rainbows) moving on a white conveyor belt. The videos were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over...
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Video of LEGO bricks on conveyor belt - narrow plates
Dane BadawczeThe set contains videos of LEGO bricks (narrow plates) moving on a white conveyor belt. The videos were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final conveyor...
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Video of LEGO bricks on conveyor belt - narrow special plates
Dane BadawczeThe set contains videos of LEGO bricks (narrow special plates) moving on a white conveyor belt. The videos were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the...
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Video of LEGO bricks on conveyor belt - Technic pins
Dane BadawczeThe set contains videos of LEGO bricks (Technic pins) moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final conveyor...
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Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks
PublikacjaIn this article, the usage of deep learning (DL) in ultra-wideband (UWB) Wireless Body Area Networks (WBANs) is presented. The developed approach, using channel impulse response, allows higher efficiency in identifying the direct visibility conditions between nodes in off-body communication with comparison to the methods described in the literature. The effectiveness of the proposed deep feedforward neural network was checked on...
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LSTM-based method for LOS/NLOS identification in an indoor environment
PublikacjaDue to the multipath propagation, harsh indoor environment significantly impacts transmitted signals which may adversely affect the quality of the radiocommunication services, with focus on the real-time ones. This negative effect may be significantly reduced (e.g. resources management and allocation) or compensated (e.g. correction of position estimation in radiolocalisation) by the LOS/NLOS identification algorithm. This paper...
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Vehicle classification based on soft computing algorithms
PublikacjaExperiments and results regarding vehicle type classification are presented. Three classes of vehicles are recognized: sedans, vans and trucks. The system uses a non-calibrated traffic camera, therefore no direct vehicle dimensions are used. Various vehicle descriptors are tested, including those based on vehicle mask only and those based on vehicle images. The latter ones employ Speeded Up Robust Features (SURF) and gradient images...
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Developing a Low SNR Resistant, Text Independent Speaker Recognition System for Intercom Solutions - A Case Study
PublikacjaThis article presents a case study on the development of a biometric voice verification system for an intercom solution, utilizing the DeepSpeaker neural network architecture. Despite the variety of solutions available in the literature, there is a noted lack of evaluations for "text-independent" systems under real conditions and with varying distances between the speaker and the microphone. This article aims to bridge this gap....
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The trajectories of the financial crisis of companies at risk of bankruptcy
PublikacjaThis article concerns the assessment of the trajectory of the collapse of enterprises in Central Europe. The author has developed a model of a Kohonen artificial neural network. This model was used to determine 6 different classes of risk and was allowed to graphically determine the 5- to 10-year trajectory of going bankrupt. The study used data on 140 companies listed on the Warsaw Stock Exchange. This population was divided into...
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Monitoring the gas turbine start-up phase on the platform using a hierarchical model based on Multi-Layer Perceptron networks
PublikacjaVery often, the operation of diagnostic systems is related to the evaluation of process functionality, where the diagnostics is carried out using reference models prepared on the basis of the process description in the nominal state. The main goal of the work is to develop a hierarchical gas turbine reference model for the estimation of start-up parameters based on multi-layer perceptron neural networks. A functional decomposition...
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Inteligentne systemy agentowe w systemach zdalnego nauczania
PublikacjaW pracy omówiono inteligentne systemy agentowe w systemach zdalnego nauczania. Po krótkim przedstawieniu ewolucji systemów zdalnego nauczania i ich wybranych zastosowań, scharakteryzowano inteligentne agenty edukacyjne. Omówiono wykorzystanie programowania genetycznego oraz algorytmów neuro-ewolucyjnych do implementacji oprogramowania tej klasy. Ponadto, nawiązano do modelu Map-Reduce, który efektywnie wspiera architekturę nowoczesnego...
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Application of gas chromatographic data and 2D molecular descriptors for accurate global mobility potential prediction
PublikacjaMobility is a key feature affecting the environmental fate, which is of particular importance in the case of persistent organic pollutants (POPs) and emerging pollutants (EPs). In this study, the global mobility classification artificial neural networks-based models employing GC retention times (RT) and 2D molecular descriptors were constructed and validated. The high usability of RT was confirmed based on the feature selection...
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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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Comparative study on total nitrogen prediction in wastewater treatment 1 plant and effect of various feature selection methods on machine learning algorithms performance
PublikacjaWastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods are used in the pre-processing section for enhancing the model performance. This study aims to evaluate the effect of seven different FS methods (filter, wrapper, and embedded methods) on enhancing the prediction accuracy for total nitrogen (TN) in the WWTP...
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Study of Statistical Text Representation Methods for Performance Improvement of a Hierarchical Attention Network
PublikacjaTo effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such as document classification, document summarization, and so forth. In our work, we study the quality of text representations using statistical methods and compare them to approaches...
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublikacjaSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models
PublikacjaBreast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...
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Identyfikacja dźwięków serca za pomocą algorytmu LPC oraz sztucznej sieci neuronowej.
PublikacjaW artykule przedstawiono algorytm klasyfikacji sygnału fonokardiograficznego, który umożliwia skuteczną identyfikację 12 różnych stanów. Poprzez połączenie ze sobą algorytmu kodowania liniowego (LPC) wraz ze sztuczną siecią neuronową uzyskano skuteczność klasyfikacji sięgającą 82% oraz pełną skuteczność w rozróżnieniu pomiędzy stanami: braku lub występowania schorzenia. Najlepsze rezultaty uzyskano dla jednokierunkowych, dwuwarstwowych...
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Collective citizens' behavior modelling with support of the Internet of Things and Big Data
PublikacjaIn this paper, collective human behaviors are modelled by a development of Big Data mining related to the Internet of Things. Some studies under MapReduce architectures have been carried out to improve an efficiency of Big Data mining. Intelligent agents in data mining have been analyzed for smart city systems, as well as data mining has been described by genetic programming. Furthermore, artificial neural networks have been discussed...
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Style Transfer for Detecting Vehicles with Thermal Camera
PublikacjaIn this work we focus on nighttime vehicle detection for intelligent traffic monitoring from the thermal camera. To train a Convolutional Neural Network (CNN) detector we create a stylized version of COCO (Common Objects in Context) dataset using Style Transfer technique that imitates images obtained from thermal cameras. This new dataset is further used for fine-tuning of the model and as a result detection accuracy on images...
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Artificial intelligence support for disease detection in wireless capsule endoscopy images of human large bowel
PublikacjaIn the work the chosen algorithms of disease recognition in endoscopy images were described and compared for theirs efficiency. The algorithms were estimated with regard to utility for application in computer system's support for digestive system's diagnostics. Estimations were achieved in an advanced testing environment, which was built with use of the large collection of endoscopy movies received from Medical University in Gdańsk....
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Efficiency comparison of selected endoscopic video analysis algorithms
PublikacjaIn the paper, selected image analysis algorithms were examined and compared in the task of identifying informative frames, blurry frames, colorectal cancer and healthy tissue on endoscopic videos. In order to standardize the tests, the algorithms were modified by removing from them parts responsible for the classification, and replacing them with Support Vector Machines and Artificial Neural Networks. The tests were performed in...
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Ancient schwannoma - Female, 66 - Tissue image [9010729561474411]
Dane BadawczeThis is the histopathological image of SPINAL CORD, CRANIAL NERVES, AND OTHER PARTS OF CENTRAL NERVOUS SYSTEM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Video of LEGO bricks on conveyor belt - Tiles with studs
Dane BadawczeThe set contains videos of LEGO bricks (tiles with studs) moving on a white conveyor belt. The videos were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final...
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Video of LEGO bricks on conveyor belt - Tiles and panels
Dane BadawczeThe set contains videos of LEGO bricks (tiles, panels, etc.) moving on a white conveyor belt. The videos were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final...