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Search results for: 1D%20CONVOLUTIONAL%20NEURAL%20NETWORK

  • An improved adaptive neural voltage controller for turbogenerator

    Publication

    - Year 2007

    Opracowano model adaptacyjnego neuronowego regulatora napięcia z nastrojonym współczynnikiem wzmocnienia funkcji przynależności i z nastrojonym współczynnikiem uczenia sieci neuronowej w zależnosci od stanu obciążenia turbogeneratora. Przedstawiono wyniki symulacji mające na celu badania efektywności proponowanego regulatora. Te wyniki porównano z wynikami uzyskanymi z regulatorem o stałym współczynnikiem wzmocnienia funkcji przynależności...

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  • Effects of Sleep Deprivation on Neural Circulatory Control

    Publication
    • M. Kato
    • B. Phillips
    • G. Sigurdsson
    • K. Narkiewicz
    • C. Pesek
    • V. Somers

    - HYPERTENSION - Year 2000

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  • Sympathetic neural responses to smoking are age dependent

    Publication
    • D. Hering
    • V. Somers
    • T. Kara
    • W. Kucharska
    • P. Jurak
    • L. Bieniaszewski
    • K. Narkiewicz

    - JOURNAL OF HYPERTENSION - Year 2006

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  • Robustness in Compressed Neural Networks for Object Detection

    Publication

    - Year 2021

    Model compression techniques allow to significantly reduce the computational cost associated with data processing by deep neural networks with only a minor decrease in average accuracy. Simultaneously, reducing the model size may have a large effect on noisy cases or objects belonging to less frequent classes. It is a crucial problem from the perspective of the models' safety, especially for object detection in the autonomous driving...

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  • Neural Architecture Search for Skin Lesion Classification

    Deep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture. This is a tedious and time-consuming process that requires expert knowledge. Different tasks need very different architectures to obtain satisfactory results. The group of methods called the neural architecture search (NAS) helps to find effective architecture...

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  • Neural Modelling of Steam Turbine Control Stage

    Publication

    The paper describes possibility of steam turbine control stage neural model creation. It is of great importance because wider application of green energy causes severe conditions for control of energy generation systems operation Results of chosen steam turbine of 200 MW power measurements are applied as an example showing way of neural model creation. They serve as training and testing data of such neural model. Relatively simple...

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  • Neural nets application in diagnostics of industrial robots

    Publication

    - Year 2005

    Przedstawiono wyniki wstępnych badań nad możliwością zastosowania sztucznych sieci neuronowych w procesie diagnozowania stanu technicznego robotów przemysłowych z napędem elektrycznym. Omówiono proces projektowania sieci neuronowych, za pomocą których realizowano liniową predykcję zmian dokładności pozycjonowania jednokierunkowego robota IRB 6 powstających przy różnych obciążeniach i prędkościach manipulatora podczas pracy z celowo...

  • Network society: a concept of smart information management

    Publication

    Automatic enhancement of Internet broadcasted news has been recently gaining increasing importance and interest. Existing applications and models of textual Event Detection in online media are based on the analysis of news distributed via RSS (Rich Site Summary called also Really Simple Syndication) channels or available at news websites. It assumes that each piece of news is equally available to the reader and, therefore, describes...

  • Analysis of the reliability of any-hop star network

    Publication

    - Year 2005

    Założono, że sieć ma wielostopniową strukturę gwiaździstą. Jako oceny niezawodności tych sieci przyjęto: 1) średnią liczbę sprawnych par węzłów, które mogą komunikować się wzajemnie; 2) średnią liczbę sprawnych par węzłów, które mogą komunikować się poprzez węzeł centralny; 3) średnią liczbę sprawnych par węzłów, które mogą komunikować się z węzłem centralnym; 4) prawdopodobieństwo zdarzenia, że sprawne węzły mogą komunikować...

  • Self-Organizing Wireless Nodes Monitoring Network

    The concept of data monitoring system and self-organizing network of multipurpose data transfer nodes are presented. Two practical applications of this system are also presented. The first of these is the wireless monitoring system for containers, and the second is the mobile monitoring system for gas air pollution measurements.

  • Chromatographic Examinations in the Gas Network Odourised by Tetrahydrothiophene

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  • Comparative study of learning methods for artificial network

    W artykule przedstawiono wyniki badań porównawczych metod uczenia sieci neuronowych takich jak: metoda propagacji wstecznej błędów, rekurencyjna metoda najmniejszych kwadratów, metoda Zangwill'a, metoda algorytmów ewolucyjnych. Celem tych badań jest dobieranie najefektywniejszej metody uczenia do projektowania adaptacyjnego neuronowego regulatora napięcia generatora synchronicznego.metody uczenia, sieć neuronowa, neuronowy regulator...

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  • Limiting influence of wireless network emissions on environment

    W pracy proponowany jest sposób zarządzania parametrami kanału radiowego w sieciach WiFi. Rozwiązanie oparte jest o niestosowaną dotąd w sieciach bezprzewodowych metodę pomiaru odległości stacji klienckiej od punktu dostępowego. Wymagane jest zmodyfikowanie warstwy MAC zarówno punktów dostępowych, jak i stacji klienckich. Możliwa jest także praca z typowymi kartami bezprzewodowymi.Zaproponowane rozwiązanie pozwala znacząco podnieść...

  • The Realization of NGN Architecture for ASON/GMPLS Network

    For the last decades huge efforts of telecommunication,Internet and media organizations have been focusingon creating standards and implementing one common networkdelivering multimedia services - Next Generation Network.One of the technologies which are very likely to beused in NGN transport layer is ASON/GMPLS optical network.The implementation of ASON/GMPLS technology usingopen source software and its results are the subject...

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  • Wireless Network Selection: A Population Dynamics Approach

    Publication

    - Year 2011

    W artykule rozpatruje się środowisko wireless multihoming, gdzie terminal bezprzewodowy może w każdej chwili połączyć się z jedną z wielu dostępnych sieci bezprzewodowych. Zwrócono uwagę na rolę informacji zwrotnej z sieci powiadamiającej terminal o bieżącym stanie sieci. Zaproponowano trzy dynamiczne modele wyboru sieci, różniące się dostępem terminala do informacji zwrotnej dotyczących sieci, z którą nie jest aktualnie połączony.

  • Network heat is the comfort in winter and summer - TRIGENERATION

    Publication

    - Year 2004

    Przedstawiono międzynarodowe uwarunkowania prawne oraz techniczne stosowania kogeneracji w aspekcie wykorzystania ciepła sieciowego na potrzeby ogrzewania i klimatyzacji obiektów.

  • Network-centric warfare: a strategy for homeland security

    Publication

    - Year 2006

    Pojawienie się międzynarodowego terroryzmu skutkuje nowym podejście do identyfikacji potencjalnych zagrożeń dla bezpieczeństwa krajowego. Powstał strategiczny dylemat - jak zidentyfikować przeciwnika? Utworzono pojęcie asymetrycznego zagrożenia i, w konsekwencji, asymetrycznej wojny. Z dużym prawdopodobieństwem można założyć, że kolejne zagrożenia będą dotyczyć takich elementów krajowej infrastruktury, jak źródła energii, elektrownie,...

  • SNDlib 1.0—Survivable Network Design Library

    Publication

    - NETWORKS - Year 2010

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  • Generalized access control in hierarchical computer network

    The paper presents the design of the security layer for a distributed system located in the multizone hierarchical computer network. Depending on the zone from which a client’s request comes to the system and the type of the request, it will be either authorized or rejected. There is one common layer for the access to all the business services and interactions between them. Unlike the commonly used RBAC model, this system enforces...

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  • Model of control plane of ASON/GMPLS network

    ASON (Automatic Switched Optical Network) is a concept of optical network recommended in G.8080/Y.1304 by ITU-T. Control Plane of this network could be based on GMPLS (Generalized Multi-Protocol Label Switching) protocols. This solution, an ASON control plane built on GMPLS protocols is named ASON/GMPLS. In the paper, we decompose the control plane problem and show the main concepts of ASON network. We propose a hierarchical architecture...

  • Application tool for IP QoS network design

    Publication

    - Year 2010

    Despite the fact that differentiated-service-aware network implementation has been a widely discussed topic for quite some time, network design still proofs nontrivial. Well developed software could put an end to network designer's problems. This chapter describes work, which has been aimed at creating a comprehensive network design tool, offering a fair range of functionality and high reliability. The presented tool is able to...

  • Intelligent thermal imaging camera with network interface

    Publication

    - Year 2011

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  • An optimization model for robust FSO network dimensioning

    Publication
    • D. Nace
    • M. Pióro
    • M. Poss
    • F. D'Andreagiovanni
    • I. Kalesnikau
    • M. Shehaj
    • A. Tomaszewski

    - Optical Switching and Networking - Year 2019

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  • Simulator for Performance Evaluation of ASON/GMPLS Network

    Publication

    The hierarchical control plane network architecture of Automatically Switched Optical Network with utilization of Generalized Multi-Protocol Label Switching protocols is compliant to next generation networks requirements and can supply connections with required quality of service, even with incomplete domain information. Considering connection control, connection management and network management, the controllers of this architecture...

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  • A wireless network for off-shore marine research

    Publication

    This paper presents functionality, the most important technology developments and potential use cases of digital communication system, developed to facilitate selected tasks commonly required during off-shore operations and marine research, including: broadband information sharing between platforms isolated from an on-shore communication infrastructure, acquisition of large data-sets from variety of off-shore...

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  • Classifying Emotions in Film Music - A Deep Learning Approach

    The paper presents an application for automatically classifying emotions in film music. A model of emotions is proposed, which is also associated with colors. The model created has nine emotional states, to which colors are assigned according to the color theory in film. Subjective tests are carried out to check the correctness of the assumptions behind the adopted emotion model. For that purpose, a statistical analysis of the...

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  • Detecting type of hearing loss with different AI classification methods: a performance review

    Publication
    • M. Kassjański
    • M. Kulawiak
    • T. Przewoźny
    • D. Tretiakow
    • J. Kuryłowicz
    • A. Molisz
    • K. Koźmiński
    • A. Kwaśniewska
    • P. Mierzwińska-Dolny
    • M. Grono

    - Year 2023

    Hearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...

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  • Consumer social network brand identification and personal branding. How do social network users choose among brand sites?

    Publication

    Brands’ social networking sites (fan pages) are increasingly attracting the attention of scientists and managers intrigued by their potential application for brand value creation. The aim of this research is to understand better how users choose among social networking sites as an act of brand identification. The study presents a new model whose structure of identification drivers for social networking brand sites varies for customer...

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  • Fusion-based Representation Learning Model for Multimode User-generated Social Network Content

    As mobile networks and APPs are developed, user-generated content (UGC), which includes multi-source heterogeneous data like user reviews, tags, scores, images, and videos, has become an essential basis for improving the quality of personalized services. Due to the multi-source heterogeneous nature of the data, big data fusion offers both promise and drawbacks. With the rise of mobile networks and applications, UGC, which includes...

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  • Neural networks in the diagnostics of induction motor rotor cages.

    W środowisku Lab VIEW została stworzona aplikacja służąca do pomiaru, prezentacji i zapisu przebiegów widma prądu stojana z uwzględnieniem potrzeb pomiarowych występujących podczas badania wirników silników indukcyjnych przy użyciu sieci neuronowych. Utworzona na bazie zbioru uczącego sieć Kohonena z powodzeniem rozwiązała stawiany przed nią problem klasyfikacji widm prądu stojana, a co za tym idzie również diagnozy stanu...

  • Applications of neural networks and perceptual masking to audio restoration

    Publication

    Omówiono zastosowania algorytmów uczących się w dziedzinie rekonstruowania nagrań fonicznych. Szczególną uwagę zwrócono na zastosowanie sztucznych sieci neuronowych do usuwania zakłócających impulsów. Ponadto opisano zastosowanie inteligentnego algorytmu decyzyjnego do sterowania maskowaniem perceptualnym w celu redukowania szumu.

  • Application of neural networks for turbine rotor trajectory investigation.

    Publication

    - Year 2004

    W pracy przedstawiono rezultaty badań sieci neuronowych przewidujących trajektorię wirnika turbinowego uzyskanych ze stanowiska turbiny modelowej. Badania wykazały, iż sieci neuronowe wydają się być z powodzeniem zastosowane do przewidywania trajektorii ruchu wirnika turbiny. Najważniejszym zadaniem wydaje się poprawne określenie wektorów sygnałów wejściowych oraz wyjściowych jak również prawidłowe stworzenie sieci neuronowej....

  • Problems in toxicity analysis - application of fuzzy neural networks

    Publication

    - Year 2005

    Praca dotyczy zastosowania sztucznych sieci neuronowych do przygotowywania danych do szacowania toksyczności (wody powierzchniowe). Przygotowanie to polega na sztucznym zagęszczaniu zbioru danych, które następnie mogą być wykorzystane do szacowania/modelowania wartości toksyczności na ich podstawie.

  • Adaptive neural voltage controller with tunable activation gain

    W artykule przedstawiono model adaptacyjnego neuronowego regulatora napięcia dla turbogeneratora z nastrojonym współczynnikiem wzmocnienia funkcji przynależności. Ten model jest kombinacją klasycznego neuronowego modelu i neuronowego modelu z współczynnikiem wzmocnienia funkcji przynależności zależnym od warunków pracy obiektu.Przedstawiono, także wyniki symulacji mające na celu badania efektywności proponowanego regulatora dla...

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  • Artificial Neural Networks in Microwave Components and Circuits Modeling

    Artykuł dotyczy wykorzystania sztucznych sieci neuronowych (SNN) w projektowaniu i optymalizacji układów mikrofalowych.Zaprezentowano podstawowe zasady i założenia modelowania z użyciem SNN. Możliwości opisywanej metody opisano wykorzystując przykładowyprojekt anteny łatowej. Przedstawiono różne strategie modelowania układów, które wykorzystują możliwości opisywanej metody w połączeniu zwiedzą mikrofalową. Porównano również dokładność...

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  • Neural Manoeuvre Detection of the Tracked Target in ARPA Systems

    Publication

    - IFAC Proceedings Volumes - Year 2001

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  • Diagnosis of damages in family buildings using neural networks

    Publication

    The article concerns a problem of damages in family buildings, which result from traffic-induced vibrations. These vibrations arise from various causes and their size is influenced by many factors. The most important is the type of a road, type and weight of vehicles that run on the road, type and condition of the road surface, the distance from the house to the source of vibrations and many others which should be taken into account....

  • Adding Intelligence to Cars Using the Neural Knowledge DNA

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2017

    In this paper we propose a Neural Knowledge DNA based framework that is capable of learning from the car’s daily operation. The Neural Knowledge DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers' classification based on their driving behaviour. The experimental...

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  • A survey of neural networks usage for intrusion detection systems

    In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commer‐ cial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested...

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  • Outlier detection method by using deep neural networks

    Publication

    - Year 2017

    Detecting outliers in the data set is quite important for building effective predictive models. Consistent prediction can not be made through models created with data sets containing outliers, or robust models can not be created. In such cases, it may be possible to exclude observations that are determined to be outlier from the data set, or to assign less weight to these points of observation than to other points of observation....

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  • The Neural Knowledge DNA Based Smart Internet of Things

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2020

    ABSTRACT The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. Smartness, however, remains a substantial challenge for IoT applications. Recent advances in networked sensor technologies, computing, and machine learning have made it possible for building new smart IoT applications. In this paper, we propose a novel approach: the Neural Knowledge DNA based Smart Internet...

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  • An Analysis of Neural Word Representations for Wikipedia Articles Classification

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2019

    One of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...

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  • Toward Intelligent Recommendations Using the Neural Knowledge DNA

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2021

    In this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep...

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  • Investigation of Continuous Wave Jamming in an IEEE 802.15.4 Network

    Publication

    This paper presents how continuous wave jamming affects IEEE 802.15.4 network. To this end, an office-based measurement setup has been proposed. Within the measurement area, 25 nodes have been set up in order to create a IEEE 802.15.4 tree-based test network structure. A dedicated jamming device that generates and transmits a continuous wave signal has been developed. Several tests have been conducted and presented to demonstrate...

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  • NetBaltic System-Heterogenous Wireless Network for Maritime Communications

    In case of maritime communications, we observe a growing interest in deployment of multitask satellite-based solutions and development of new maritime-specific systems intended for improvements in safety of e-navigation. Analysis of different types of currently used maritime communication systems leads, however, to a conclusion that neither global and still very expensive satellite systems nor cheaper, but short-ranged transmission...

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  • Pathological brain network activity: memory impairment in epilepsy

    Publication

    - NEUROLOGY - Year 2013

    Our thinking, memory and cognition in general, relies upon precisely timed interactions among neurons forming brain networks that support cognitive processes. The surgical evaluation of drug-resistant epilepsy using intracranial electrodes provides a unique opportunity to record directly from human brain and to investigate the coordinated activity of cognitive networks. In this issue of Neurology®, Kleen and colleagues1 implicate...

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  • Application of BAN Network to Increase Security in Transport Systems

    Publication

    - Year 2017

    In the article general characteristics of the BAN network with M2M communications are presented. These are networks that enable the implementation of wireless transmission of signals using special sensors located on the body or implanted subcutaneously. These sensors allow monitoring of different type life parameters of a human. In the next part of work there is proposed the implementation of BAN networks to transport systems as...

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  • Investigation of continuous wave jamming in an IEEE 802.15.4 network

    Publication

    This paper presents how continuous wave jamming affects IEEE 802.15.4 network. To this end, an office-based measurement setup has been proposed. Within the measurement area, 25 nodes have been set up in order to create a IEEE 802.15.4 tree-based test network structure. A dedicated jamming device that generates and transmits a continuous wave signal has been developed. Several tests have been conducted and presented to demonstrate...

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  • Injury Prediction Models for Onshore Road Network Development

    Integrating different modes of transport (road, rail, air and water) is important for port cities. To accommodate this need, new transport hubs must be built such as airports or sea ports. If ports are to grow, they must be accessible, a feature which is best achieved by building new roads, including fast roads. Poland must develop a network of fast roads that will provide good access to ports. What is equally important is to upgrade...

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  • The Central European GNSS Research Network (CEGRN) dataset

    Publication
    • J. Zurutuza
    • A. Caporali
    • M. Bertocco
    • M. Ishchenko
    • O. Khoda
    • H. Steffen
    • M. Figurski
    • E. Parseliunas
    • S. Berk
    • G. Nykiel

    - Data in Brief - Year 2019

    The Central European GNSS Research Network (CEGRN) collects GNSS data since 1994 from contributors which today include 42 Institutions in 33 Countries. CEGRN returns a dataset of coordinates and velocities computed according to international standards and the most recent processing procedures and recommendations. We provide a dataset of 1229 positions and velocities resulting from 3 or more repetitions of coordinate measurements...

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