Search results for: FRACTIONAL BEHAVIOUR, DIFFUSION EQUATION, INFINITE LADDER NETWORKS, FRACTAL CAUER NETWORKS ,TRANSFER FUNCTION - Bridge of Knowledge

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Search results for: FRACTIONAL BEHAVIOUR, DIFFUSION EQUATION, INFINITE LADDER NETWORKS, FRACTAL CAUER NETWORKS ,TRANSFER FUNCTION

Search results for: FRACTIONAL BEHAVIOUR, DIFFUSION EQUATION, INFINITE LADDER NETWORKS, FRACTAL CAUER NETWORKS ,TRANSFER FUNCTION

  • Diffusion equations with spatially dependent coefficients and fractal Cauer-type networks

    Publication

    In this article, we formulate and solve the representation problem for diffusion equations: giving a discretization of the Laplace transform of a diffusion equation under a space discretization over a space scale determined by an increment h > 0, can we construct a continuous in h family of Cauer ladder networks whose constitutive equations match for all h > 0 the discretization. It is proved that for a finite differences discretization...

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  • Sławomir Jerzy Ambroziak dr hab. inż.

    Sławomir J. Ambroziak was born in Poland, in 1982. He received the M.Sc., Ph.D. and D.Sc. degrees in radio communication from Gdańsk University of Technology (Gdańsk Tech), Poland, in 2008, 2013, and 2020 respectively. Since 2008 he is with the Department of Radiocommunication Systems and Networks of the Gdańsk Tech: 2008-2013 as Research Assistant, 2013-2020 as Assistant Professor, and since 2020 as Associate Professor. He is...

  • Jerzy Konorski dr hab. inż.

    Jerzy Konorski received his M. Sc. degree in telecommunications from Gdansk University of Technology, Poland, and his Ph. D. degree in computer science from the Polish Academy of Sciences, Warsaw, Poland. In 2007, he defended his D. Sc. thesis at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. He has authored over 150 papers, led scientific projects funded by the European Union,...

  • NETWORKS

    Journals

    ISSN: 0028-3045 , eISSN: 1097-0037

  • Computer Networks-laboratories - 2023

    e-Learning Courses
    • M. Hoeft
    • T. Gierszewski
    • I. Szczypior
    • J. Grochowski
    • J. Rak
    • W. Gumiński
    • K. Jurczenia
    • K. Gierłowski
    • K. Nowicki

    Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

  • Computer Networks laboratories 2024

    e-Learning Courses
    • M. Hoeft
    • T. Gierszewski
    • I. Szczypior
    • J. Grochowski
    • J. Rak
    • W. Gumiński
    • K. Jurczenia
    • K. Gierłowski
    • K. Nowicki

    Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

  • MEMORY EFFECT ANALYSIS USING PIECEWISE CUBIC B-SPLINE OF TIME FRACTIONAL DIFFUSION EQUATION

    Publication
    • M. Shafiq
    • F. A. Abdullah
    • M. Abbas
    • A. Sm Alzaidi
    • M. Riaz

    - FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY - Year 2022

    The purpose of this work is to study the memory effect analysis of Caputo–Fabrizio time fractional diffusion equation by means of cubic B-spline functions. The Caputo–Fabrizio interpretation of fractional derivative involves a non-singular kernel that permits to describe some class of material heterogeneities and the effect of memory more effectively. The proposed numerical technique relies on finite difference approach and cubic...

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  • Sylwester Kaczmarek dr hab. inż.

    Sylwester Kaczmarek received his M.Sc in electronics engineering, Ph.D. and D.Sc. in switching and teletraffic science from the Gdansk University of Technology, Gdansk, Poland, in 1972, 1981 and 1994, respectively. His research interests include: IP QoS and GMPLS and SDN networks, switching, QoS routing, teletraffic, multimedia services and quality of services. Currently, his research is focused on developing and applicability...

  • Computer Networks EN 2022

    e-Learning Courses
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Computer Networks EN 2023

    e-Learning Courses
    • M. Hoeft
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Measures of region failure survivability for wireless mesh networks

    Publication

    - WIRELESS NETWORKS - Year 2015

    Wireless mesh networks (WMNs) are considered as a promising alternative to wired local, or metropolitan area networks. However, owing to their exposure to various disruptive events, including natural disasters, or human threats, many WMN network elements located close to the failure epicentre are frequently in danger of a simultaneous failure, referred to as a region failure. Therefore, network survivability, being the ability...

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  • Modelling of wastewater treatment plant for monitoring and control purposes by state - space wavelet networks

    Publication

    Most of industrial processes are nonlinear, not stationary, and dynamical with at least few different time scales in their internal dynamics and hardly measured states. A biological wastewater treatment plant falls into this category. The paper considers modelling such processes for monitorning and control purposes by using State - Space Wavelet Neural Networks (SSWN). The modelling method is illustrated based on bioreactors of...

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  • Piotr Rajchowski dr inż.

    Piotr Rajchowski (Member, IEEE) was born in Poland, in 1989. He received the E.Eng., M.Sc., and Ph.D. degrees in radio communication from the Gdańsk University of Technology (Gdańsk Tech), Poland, in 2012, 2013, and 2017, respectively. Since 2013, he has been working at the Department of Radiocommunication Systems and Networks, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, as a IT...

  • Approximation of Fractional Order Dynamic Systems Using Elman, GRU and LSTM Neural Networks

    Publication

    In the paper, authors explore the possibility of using the recurrent neural networks (RNN) - Elman, GRU and LSTM - for an approximation of the solution of the fractional-orders differential equations. The RNN network parameters are estimated via optimisation with the second order L-BFGS algorithm. It is done based on data from four systems: simple first and second fractional order LTI systems, a system of fractional-order point...

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  • Networks Externalities as Social Phenomenon in the Process ICT Diffusion.

    Publication

    This paper is designed to fill the gap in knowledge that we have identified regarding the process of diffusion of information and communication technologies and emerging network effects that significantly enhance spread of these technologies. We contribute to the present state of the art by examining the process of ICT diffusion in 50 countries, which in 2015 achieved highest ICT penetration rates.

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  • Inter-governmental Collaborative Networks for Digital Government Innovation Transfer -Structure, Membership, Operation

    Publication

    Digital government refers to the transformation of government organizations and their relationships with citizens, business and each other through digital technology. It entails digital innovation in processes, services, organizations, policies, etc. which are increasingly developed and tested in one country and transferred, after adaptation, to other countries. The process of innovation transfer and the underlying information...

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  • Signal Propagation in Electromagnetic Media Modelled by the Two-Sided Fractional Derivative

    Publication

    - Fractal and Fractional - Year 2021

    In this paper, wave propagation is considered in a medium described by a fractional-order model, which is formulated with the use of the two-sided fractional derivative of Ortigueira and Machado. Although the relation of the derivative to causality is clearly specified in its definition, there is no obvious relation between causality of the derivative and causality of the transfer function induced by this derivative. Hence, causality...

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  • Towards a classification of networks with asymmetric inputs

    Publication

    - NONLINEARITY - Year 2021

    Coupled cell systems associated with a coupled cell network are determined by (smooth) vector fields that are consistent with the network structure. Here, we follow the formalisms of Stewart et al (2003 SIAM J. Appl. Dyn. Syst. 2, 609–646), Golubitsky et al (2005 SIAM J. Appl. Dyn. Syst. 4, 78–100) and Field (2004 Dyn. Syst. 19, 217–243). It is known that two non-isomorphic n-cell coupled networks can determine the same sets of...

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  • Modeling the Networks - ed. 2021/2022

    e-Learning Courses

    The goal of this course is to present optimization problems for road networks, where the road network is a set of n distinct lines, or n distinct (open or closed) line segments, in the plane, such that their union is a connected region.

  • Balance error generated by numerical diffusion in the solution of Muskingum equation

    Publication

    - Year 2009

    In the paper the conservative properties of the lumped hydrological models with variable parameters are discussed. It is shown that in the case of the non-linear Muskingum equation the mass balance is not satisfied. The study indicates that the mass balance errors are caused by the improper form of equation and by the numerical diffusion which is generated in the solution. It has been shown that the classical way of derivation...

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  • Exploiting multi-interface networks: Connectivity and Cheapest Paths

    Publication

    - WIRELESS NETWORKS - Year 2010

    Let G = (V,E) be a graph which models a set of wireless devices (nodes V) that can communicate by means of multiple radio interfaces, according to proximity and common interfaces (edges E). The problem of switching on (activating) the minimum cost set of interfaces at the nodes in order to guarantee the coverage of G was recently studied. A connection is covered (activated) when the endpoints of the corresponding edge share at...

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  • Gas Detection Using Resistive Gas Sensors And Radial Basis Function Neural Networks

    Publication

    - Year 2016

    We present a use of Radial Basis Function (RBF) neural networks and Fluctuation Enhanced Sensing (FES) method in gas detection system utilizing a prototype resistive WO3 gas sensing layer with gold nanoparticles. We investigated accuracy of gas detection for three different preprocessing methods: no preprocessing, Principal Component Analysis (PCA) and wavelet transformation. Low frequency noise voltage observed in resistive gas...

  • The reliability of tree and star networks.

    Publication

    - Year 2008

    One of the important parameters characterizing the quality of computer networks is the network's reliability with respect to failures of the communication links and nodes. This chapter investigated the reliability of tree and star networks. The tree and star topology is used in centralized computer networks. In centralized computer networks all communication must take place through some central computer. Following measures of network...

  • The interpretation of the parameters of the equation used for the extrapolation of apparent molar volumes of the non-electrolyte (solutes) to the infinite dilution

    The paper discusses how to interpret the parameters of the basic equation used for the extrapolation of the apparent molar volume of the solute to infinite dilution. The common misunderstandings and oversimplifications have been pointed out. We present the alternative ways of the data interpretation that can be used to eliminate these obvious but frequent mistakes.

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  • Neural networks and deep learning

    Publication

    - Year 2022

    In this chapter we will provide the general and fundamental background related to Neural Networks and Deep Learning techniques. Specifically, we divide the fundamentals of deep learning in three parts, the first one introduces Deep Feed Forward Networks and the main training algorithms in the context of optimization. The second part covers Convolutional Neural Networks (CNN) and discusses their main advantages and shortcomings...

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  • Resilient Routing in Communication Networks

    Publication

    - Year 2015

    This important text/reference addresses the latest issues in end-to-end resilient routing in communication networks. The work highlights the main causes of failures of network nodes and links, and presents an overview of resilient routing mechanisms, covering issues related to the Future Internet (FI), wireless mesh networks (WMNs), and vehicular ad-hoc networks (VANETs). For each of these network architectures, a selection of...

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  • Anomalous diffusion modeling using ultracapacitors in domino ladder circuit

    Publication
    • T. Skovranek
    • M. Macias
    • D. Sierociuk
    • W. Malesza
    • A. Dzielinski
    • I. Podlubny
    • J. Pocsova
    • I. Petras

    - MICROELECTRONICS JOURNAL - Year 2019

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  • WIRELESS NETWORKS

    Journals

    ISSN: 1022-0038 , eISSN: 1572-8196

  • The impact of institutions on innovation networks: empirical evidence from Poland

    Publication

    - Technological and Economic Development of Economy - Year 2022

    Innovation networks may accelerate and improve the innovation process, while institutional pathologies may hamper it. This study employs the Kruskal-Wallis H test and regression analysis to determine if the relationship between institutions and innovation networks does exist among the investigated variables. The purpose of the study was to find out whether cooperation with special local institutions influences the innovative behaviour...

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  • Communication Networks in the Service of the Environmental Monitoring

    In the paper selected issues relating to communication networks in the services of the environmental monitoring (EM) have been described. It is divided into three main parts: introduction, wire and wireless networks. At the beginning of the basic definitions were explained. The wire part focuses on a plain old telephone service (POTS), an integrated services digital network (ISDN), a digital subscriber line (DSL) and a fiber-optic...

  • Deep neural networks for data analysis

    e-Learning Courses
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Fractal and Fractional

    Journals

    eISSN: 2504-3110

  • Traffic Remapping Attacks in Ad Hoc Networks

    Publication

    - IEEE COMMUNICATIONS MAGAZINE - Year 2018

    Ad hoc networks rely on the mutual cooperation of stations. As such, they are susceptible to selfish attacks that abuse network mechanisms. Class-based QoS provisioning mechanisms, such as the EDCA function of IEEE 802.11, are particularly prone to traffic remapping attacks, which may bring an attacker better QoS without exposing it to easy detection. Such attacks have been studied in wireless LANs, whereas their impact in multihop...

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  • Cost minimization in wireless networks with a bounded and unbounded number of interfaces

    Publication

    - NETWORKS - Year 2009

    Praca dotyczy problemu minimalizacji energii poprzez selektywne odłączanie urządzeń komunikacyjnych w wielointerfejsowych sieciach bezprzewodowych w taki sposób, by zapewnić realizację wymaganego grafu połączeń. Sformułowano problem optymalizacyjny, podano wyniki dotyczące jego trudności i zaproponowano algorytmy optymalizacyjne. Rozważono zarówno wariant, w którym liczba interfejsów komunikacyjnych jest parametrem stałym (narzuconym...

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  • Waves Along Fractal Coastlines: From Fractal Arithmetic to Wave Equations

    Publication

    Beginning with addition and multiplication intrinsic to a Koch-type curve, we formulate and solve wave equation describing wave propagation along a fractal coastline. As opposed to examples known from the literature, we do not replace the fractal by the continuum in which it is embedded. This seems to be the first example of a truly intrinsic description of wave propagation along a fractal curve. The theory is relativistically...

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  • Adrian Bekasiewicz dr hab. inż.

    Adrian Bekasiewicz received the MSc, PhD, and DSc degrees in electronic engineering from Gdansk University of Technology, Poland, in 2011, 2016, and 2020, respectively. In 2014, he joined Engineering Optimization & Modeling Center where he held a Research Associate and a Postdoctoral Fellow positions, respectively. Currently, he is an Associate Professor with Gdansk University of Technology, Poland. His research interests include...

  • Overview of Scalability and Reliability Problem in SDN Networks

    In the paper an overview of scalability and reliability in the SDN (Software Defined Networks) networks has been presented. Problems and limitations for guaranteeing scalability and reliability in SDN networks have been indicated. Known methods for assuring scalability and reliability in SDN networks have been described. Projects from research communities for resolving issues with scalability and reliability in SDN networks have...

  • The reliability of tree and star networks

    This paper investigated the reliability of tree and star networks. Following measures of network reliability are assumed: the expected number of nodes, that can communicate with the central node; the expected number of node pairs, that are connected by a path through the central node; the expected number of node pairs communicating.

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  • Protection in elastic optical networks

    Publication
    • R. Goścień
    • K. Walkowiak
    • M. Klinkowski
    • J. Rak

    - IEEE NETWORK - Year 2015

    In this article, we analyze gains resulting from the use of EON architectures with special focus on transportation of cloud-ready and content-oriented traffic in the context of network resilience. EONs are a promising approach for future optical transport networks and, apart from improving the network spectral efficiency, bring such new capabilities as squeezed protection, which reduces resource requirements in failure scenarios....

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  • THE UNSUSTAINABILITY OF PUBLIC-SECTOR ORGANIZATIONAL NETWORKS: A CASE STUDY OF VOLUNTARY COURT NETWORKS

    Publication

    - Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska - Year 2020

    Purpose: The purpose of this study is to identify the problem of sustainability of public-sector 12 organizational networks on the example of common courts and what it implies for further 13 research. Methodology: The study used qualitative research tools in the form of structured 14 interviews. Interviews were conducted with 36 presidents and directors of common courts. 15 After conducting and transcribing each interview, their...

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  • Impact of diffusion coefficient averaging on solution accuracy of the 2D nonlinear diffusive wave equation for floodplain inundation

    Publication

    In the study, the averaging technique of diffusion coefficients in the two-dimensional nonlinear diffusive wave equation applied to the floodplain inundation is presented. As a method of solution, the splitting technique and the modified finite element method with linear shape functions are used. On the stage of spatial integration, it is often assumed that diffusion coefficient is constant over element and equal to its average...

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  • Exploiting Multi-Interface Networks: Connectivity and Cheapest Paths

    Publication

    - WIRELESS NETWORKS - Year 2009

    Rozważano zagadnienie minimalizacji energii w sieciach bezprzewodowych bez infrastruktury, w których niektóre węzły są wyposażone w więcej, niż jeden interfejs. W przyjętym modelu sieci podano nowe algorytmy przybliżone oraz wyniki dotyczące złożoności obliczeniowej dla dwóch problemów: aktywacji najtańszej spójnej podsieci spinającej oraz aktywacji ścieżki pomiędzy ustaloną parą węzłów.

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  • An efficient approach to optimization of semi‐stable routing in multicommodity flow networks

    Publication

    - NETWORKS - Year 2021

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  • Rearrangeability in multicast Clos networks is NP-complete

    Publication

    Przestrajalność w polach Closa z połączeniami jeden do jeden jest problemem wielomianowym. W pracy pokazano, że w polach z połączeniami jeden do wiele problem ten jest NP zupełny.Three-stage elos networks are commutation networks with circuit switching. So far, graph theory has been very useful tool for solving issues related to these networks with unicast connections. This is so because if elos network is represented as a bipartite...

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  • Cooperative Data Transmission in Wireless Vehicular Networks

    Publication

    - Year 2017

    The paper presents issues related to the cooperative transmission in wireless vehicular networks. Cooperative transmission involves the use of mobile terminals as relay stations to improve the transmission quality, improve network performance and reduce energy consumption. The paper presents the methods used to implement cooperative transmission and the types of cooperative networks.

  • IET Networks

    Journals

    ISSN: 2047-4954 , eISSN: 2047-4962

  • NEURAL NETWORKS

    Journals

    ISSN: 0893-6080 , eISSN: 1879-2782

  • SOCIAL NETWORKS

    Journals

    ISSN: 0378-8733 , eISSN: 1879-2111

  • Olgun Aydin dr

    Olgun Aydin finished his PhD by publishing a thesis about Deep Neural Networks. He works as a Principal Machine Learning Engineer in Nike, and works as Assistant Professor in Gdansk University of Technology in Poland. Dr. Aydin is part of editorial board of "Journal of Artificial Intelligence and Data Science" Dr. Aydin served as Vice-Chairman of Why R? Foundation and is member of Polish Artificial Intelligence Society. Olgun is...

  • Optimization of Wireless Networks for Resilience to Adverse Weather Conditions

    Publication
    • M. Pióro
    • E. Fitzgerald
    • I. Kalesnikau
    • D. Nace
    • J. Rak

    - Year 2020

    In this chapter, we consider how adverse weather conditions such as rain or fog affect the performance of wireless networks, and how to optimize these networks so as to make them robust to these conditions. We first show how to analyze the weather conditions in order to make them useful for network optimization modelling. Using an example realistic network, we show how to optimize two types of wireless networks: free-space optical...

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