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Search results for: SOHO NETWORKS
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Hybrid Approach to Networked Control System
PublicationEffcient control of Networked Control System (NCS) is a challenge, as the control methods need to deal with non-deterministic variable delays and data loss. This paper presents a novel hybrid approach to NCS where Model Predictive Control (MPC) is applied as a main controller and implicit switching MPC is used for data transmission control in event-driven shared communication medium, leading to complex control system with active...
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Piotr Rajchowski dr inż.
PeoplePiotr 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...
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Sławomir Jerzy Ambroziak dr hab. inż.
PeopleSławomir 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...
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Signals of the NB-IoT network generated by using the radiocommunication tester R&S CMW500
Open Research DataThe published dataset contains signals of the NB-IoT networks generated in the controlled conditions by using the Rohde&Schwarz CMW500 radiocommunication tester and recorded by USRP-X310 device. A test signals of the NB-IoT networks operating in the in-band, standalone and guard-band modes were captured.
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Agent-Based Population Learning Algorithm for RBF Network Tuning
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Agent-Based Approach to RBF Network Training with Floating Centroids
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An Experimental Study of Scenarios for the Agent-Based RBF Network Design
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Influence of sulphate reducing bacteria on water quality in water network
PublicationW pracy zbadano wody podziemne oraz wody rozprowadzane w sieci wodociągowej pod kątem obecności bakterii redukujących siarczany (BRS). Stwierdzono, że BRS były obecne zarówno w wodzie surowej, a także w wodzie uzdatnionej oraz w przewodach sieci wodociągowej.
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Modular wireless sensor network platform for RF transceiver evaluation
PublicationArtykuł przedstawia modułową technikę projektowania sieci sensorów bezprzewodowych. Uniwersalne połączenia występujące pomiędzy modułami pozwalają na zaprojektowanie nowej wersji sieci w przeciągu kilku dni zamiast tygodni. Na bazie wymienionej metodologii skonstruowane została platforma pozwalająca testować różnego rodzaju układy nadawczo odbiorcze pracujące na częstotliwościach RF.
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Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons
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Neural network approach to 2D Kalman filtering in image processing
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Applications of the max-min fairness principle in telecommunication network design
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The final answer to the complexity of a basic problem in resilient network design
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NIRCa: An artificial neural network-based insulin resistance calculator
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Neural network modelling of the influence of channelopathies on reflex visual attention
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The European Network on Psychosomatic Medicine (ENPM) – history and future directions
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The role of inland ports in integration of polish waterways with the european network
PublicationArtykuł zawiera główne wnioski z badan, prowadzonych przez autorke w ramach projektu EUREKA. Przedstawiono krótki opis aktualnego stanu dróg wodnych w Polsce, uwarunkowania prawne żeglugi, znaczenie transportu wodnego w systemie transportowym kraju i najważniejsze porty śródlądowe. Opisano bariery rozwoju dród wodnych w Polsce. W artykule wykorzystano zdjęcia z dwóch rejsów, w ktorych autorka brała udzial w 2006 r.
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A global atmospheric electricity monitoring network for climate and geophysical research
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Deep convolutional neural network for predicting kidney tumour malignancy
PublicationPurpose: According to the statistics, up to 15-20% of removed solid kidney tumors turn out to be benign in postoperative histopathological examination, despite having been identified as malignant by a radiologist. The aim of the research was to limit the number of unnecessary nephrectomies of benign tumors. Methods or Background: We propose a machine-aided diagnostic system for kidney...
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Traffic Speed Deflectometer for Network-Level Pavement Management in Tennessee
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Distributed state estimation using a network of asynchronous processing nodes
PublicationWe consider the problem of distributed state estimation of continuous-time stochastic processes using a~network of processing nodes. Each node performs measurement and estimation using the Kalman filtering technique, communicates its results to other nodes in the network, and utilizes similar results from the other nodes in its own computations. We assume that the connection graph of the network is not complete, i.e. not all nodes...
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Transmission protocol simulation framework for the resource-constrained sensor network
PublicationIn this paper the simulation framework for simulation of the sensor network protocol is presented. The framework enables the simultaneous development of the sensor network software and the protocol for the wireless data transmission. The advantage of using the framework is the convergence of the simulation with the real software, because the same software is used in real sensor network nodes and in the simulation framework. The...
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Modelling of network schedule including priority of selected technical resources
PublicationThe paper presents a method of network planning CPM – Critical Path Method. The author compares models of optimal solutions to design deadlines for individual works, taking various leading technical resources such as is labor and a tower crane into account.
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Methods of Network Resource Provisioning for the Future Internet IIP Initiative
PublicationIn this paper, we present specification, design and implementation aspects of a network resource provisioning module introduced for the Polish Initiative of Future Internet called System IIP. In particular, we propose a set of novel LP optimization models of network resource provisioning designed to minimize the network resource consumption, either bandwidth or node’s computational power, as well as to maximize the residual capacity....
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The Methodology of identifying the place to install shunt compensators in the transmission network
PublicationThis methodology of selection and localization of static com- paper presents pensators in wide network. Proposed method is based on analysis of voltage area power profiles in the nodes of the power grid, and designating locations, In Which Voltages ex- cessively tend to change in time. Practical way of modeling the SVC device in PLANS program you Presented, as well as some example results of research.
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Distributed state estimation using a network of asynchronous processing nodes
PublicationWe consider the problem of distributed state estimation of continuous-time stochastic processes using a~network of processing nodes. Each node performs measurement and estimation using the Kalman filtering technique, communicates its results to other nodes in the network, and utilizes similar results from the other nodes in its own computations. We assume that the connection graph of the network is not complete, i.e. not all nodes...
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Multihomed Wireless Terminals: MAC Configuration and Network Selection Games
PublicationW artykule rozpatruje się rozdział pasma pomiędzy zbiór racjonalnych terminali bezprzewodowych dołączonych do wielu sieci lokalnych. Przy pomocy narzędzi analitycznych teorii gier pokazuje się, w jaki sposób można zniechęcać terminale do agresywnej konfiguracji protokołu MAC. Analizowana jest ilościowo rola prędkości generacji informacji zwrotnej z sieci w stosunku do częstości generacji żądań dostępu terminala do sieci. Wykazano,...
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Measurement of engine and vehicle parameters using onboard CAN network
PublicationWspółczesne samochody wyposażane są w dużą liczbę układów elektronicznych, które wymagają wzajemnej wymiany informacji. Techniczne problemy niezależnego łączenia ze sobą dużej liczby sterowników doprowadziły do powstania pokładowych sieci wymiany danych. Do najpopularniejszych z nich zalicza się obecnie system CAN. W pracy przedstawiono metodę rozpoznawania ramek wiadomości transmitowanych w pokładowej sieci CAN pojazdu przez sterowniki....
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Photovoltaic bulk heterojunctions with interpenetrating network based on semiconducting polymers
PublicationPhotovoltaic cells are supposed to be the most common generators of useful electricity in the nearest future as they utilize inexhaustible carriers of renewable energy called photons. Despite the fact that 95% of worldwide applied photovoltaic devices are based on inorganic semiconductors the area of organic photovoltaics grows successively due to possibility of considerable reduction of manufacturing costs. Since the Heeger's...
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Impact of WDM Network Topology Characteristics on the Extent of Failure Losses
PublicationW artykule dokonano oceny wpływu charakterystyk topologicznych sieci na rozmiar strat po awarii węzła/łącza będącej następstwem ataku. W tym celu wprowadzono współczynnik ATRF. Wyniki badań pokazały, że wykorzystanie standardowej metryki odległości do wyznaczania tras podstawowych prowadzi do istotnego zwiększenia liczby połączeń uszkodzonych w wyniku ataku w porównaniu ze skutkami awarii losowej.
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Artificial neural network based sensorless control ofinduction motor.
PublicationW artykule przedstawiono bezczujnikowy układ sterowania silnikiem indukcyjnym wykorzystujący sztuczne sieci neuronowe (ANN). Sieć neuronową wykorzystano w regulatorze prędkości silnika. Zaprezentowano wyniki badań symulacyjnych.
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Raman system for monitoring of dye doping to hybrid polymer network
PublicationZrealizowano i przedstawiono system ramanowski do zdalnego monitorowania procesu zol-żel, dedykowany do monitorowania procedury wprowadznia cząstek barwnika do sieci polimeru hybrydowego. System umożliwia wykonywanie pomiarów zdalnych, bez zakłócania i przerywania przebiegu procesu technologicznego. Zademonstrowano i skomentowano wyniki pomiarów dla przykładowego procesu.
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The fuzzy neural network: application for trends in river pollution prediction
PublicationPraca przedstawia zastosowanie rozmytych sieci neuronowych do przygotowywania prognoz zmian w stężeniu zanieczyszczeń w rzekach. Opisane są pokrótce inne narzędzia stosowane w tym celu.
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The practical implementation of security models and strategies in an academic network infrastuctures
PublicationArtykuł prezentuje modele i strategie bezpieczeństwa dotyczące infrastruktury sieciowej. Rozważone zostały typowe zagrożenia oraz mechanizmy bezpieczeństwa sieci komputerowej. Wymienione zostały także różnice w polityce bezpieczeństwa pomiędzy komputerową siecią komercyjną a akademicką. Opisano proces analizy ryzyka dla akademickiej sieci komputerowej oraz wskazany został sposób oszacowania wymaganego poziomu bezpieczeństwa sieci.
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Enforsing cooperative behaviour in multi wireless ad-hoc network.
PublicationMechanizmy kontroli przekazywania pakietów tranzytowych w rozległych sieciach had-hoc wykorzystują nasłuchiwanie pakietów transmitowanych przez stacje sąsiednie i ich porównywanie z zachowanymi kopiami. W pracy pokazuje się możliwość egoistycznych zachowań stacji podlegających na niekontrolowanej admisji pakietów źródłowych, a następnie odmowie przyjmowania pakietów tranzytowych z powodu przepełnienia lokalnej pamięci buforowej.
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A Bayesian regularization-backpropagation neural network model for peeling computations
PublicationA Bayesian regularization-backpropagation neural network (BRBPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. K-fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network...
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Global Surrogate Modeling by Neural Network-Based Model Uncertainty
PublicationThis work proposes a novel adaptive global surrogate modeling algorithm which uses two neural networks, one for prediction and the other for the model uncertainty. Specifically, the algorithm proceeds in cycles and adaptively enhances the neural network-based surrogate model by selecting the next sampling points guided by an auxiliary neural network approximation of the spatial error. The proposed algorithm is tested numerically...
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Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
PublicationPerforming global sensitivity analysis (GSA) can be challenging due to the combined effect of the high computational cost, but it is also essential for engineering decision making. To reduce this cost, surrogate modeling such as neural networks (NNs) are used to replace the expensive simulation model in the GSA process, which introduces the additional challenge of finding the minimum number of training data samples required to...
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Compressive Sensing Approach to Harmonics Detection in the Ship Electrical Network
PublicationThe contribution of this paper is to show the opportunities for using the compressive sensing (CS) technique for detecting harmonics in a frequency sparse signal. The signal in a ship’s electrical network, polluted by harmonic distortions, can be modeled as a superposition of a small number of sinusoids and the discrete Fourier transform (DFT) basis forms its sparse domain. According to the theory of CS, a signal may be reconstructed...
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EMULACJA ŚRODOWISKA DLA ZASTOSOWANIA PROTOKOŁU IN-BAND NETWORK TELEMETRY
PublicationOkreślenie jakości obsługi strumieni pakietów w sieci przełączników wymaga odpowiedniego środowiska badawczego w którym prowadzi się doświadczenia i pomiary wybranych wielkości. Protokół In-band Network Telemetry jest jednym z narzędzi, które można wykorzystać do realizacji tych zadań. W pracy zaproponowano zwirtualizowane środowisko badawcze w którym można emulować sieć przełączników programowalnych w języku P4 wraz z implementacją...
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Application of a fuzzy neural network for river water quality prediction
PublicationMonitoring i modelowanie zmian w jakości wód powierzchniowych stanowią jeden z kluczowych elementów monitoringu i zarządzania ochroną środowiska na skalę globalną. Kontrolowanie tak złożonych i nieliniowych w swojej charakterystyce obiektów, jakimi są rzeki, jest trudnym zadaniem. Zazwyczaj do tego celu wykorzystuje się modele matematyczne, jednak czasem wymagają one bardzo dużej ilości danych, lub czas oczekiwania na odpowiedź...
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Technology brands in the digitally-based and network economy. Setting the background
PublicationThis chapter defines and draws a general picture on Digital Technologies and Technology Brands’ meaning in the current economy. It contextualises the role and channels of digital technology’s impact on their shaping technology brands in network economy. It briefly explains why digital, innovative technologies constitute a perfect background and environment for technology brands of global scope. It discusses the place of technology...
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Categorization of emotions in dog behavior based on the deep neural network
PublicationThe aim of this article is to present a neural system based on stock architecture for recognizing emotional behavior in dogs. Our considerations are inspired by the original work of Franzoni et al. on recognizing dog emotions. An appropriate set of photographic data has been compiled taking into account five classes of emotional behavior in dogs of one breed, including joy, anger, licking, yawning, and sleeping. Focusing on a particular...
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The impact of the AC922 Architecture on Performance of Deep Neural Network Training
PublicationPractical deep learning applications require more and more computing power. New computing architectures emerge, specifically designed for the artificial intelligence applications, including the IBM Power System AC922. In this paper we confront an AC922 (8335-GTG) server equipped with 4 NVIDIA Volta V100 GPUs with selected deep neural network training applications, including four convolutional and one recurrent model. We report...
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Electromagnetic Modeling of Microstrip Elements Aided with Artificial Neural Network
PublicationThe electromagnetic modeling principle aided withartificial neural network to designing the microwave widebandelements/networks prepared in microstrip technology is proposedin the paper. It is assumed that the complete information is knownfor the prototype design which is prepared on certain substratewith certain thickness and electric permittivity. The longitudinaland transversal dimensions of new design...
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Cellular network quality evaluation at a university campus on the eve of 5G
PublicationThanks to the availability of mobile devices and the spread of broadband access around the world, the number of network users continues to grow. This has raised user awareness when it comes to the quality of content they consume. Many service providers and operators focus on monitoring QoN (Quality of Network) and QoS (Quality of Service) parameters, particularly those influenced by bandwidth and latency. However, for most end-users,...
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Modeling of traffic safety indictors on Polish national road network
PublicationAlthough decreased from 2001 to 2013, Poland’s road deaths improved at a slower rate than the rest of the EU, leaving Poland as one of the worst road safety performing countries in the EU. The national road network in Poland, despite the dynamic transformation and development, still does not conform to the EU safety standards. Similar situation exists in other EU countries, particularly those in Central and Eastern Europe. Safety...
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The Performance of ASON/GMPLS Network with Hierarchical Control Plane Structure
PublicationThe paper regards the problem of ASON/GMPLS network performance with hierarchical control plane structure in condition of incomplete domain network information. The authors propose the hierarchical ASON/GMPLS control plane architecture, which fulfills the requirements of modern optical networks and allows to control the multidomain network with requirement quality of service. The authors examine the scalability and properties of...
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DISTRIBUTION OF FLOWS IN A CHANNEL NETWORK UNDER STEADY FLOW CONDITIONS
PublicationThe article presents an algorithm for calculating the distribution of flow in a junction of open channel network under steady flow conditions. The article presents a simplified calculation algorithm used to estimate the distribution of flow in a network of channels under steady flow conditions. The presented algorithm is based on the continuity equation and a simplified energy equation. To describe the relationship between the...
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The protection and monitoring of a distribution piping network for potable water supply
PublicationPurpose – The purpose of this paper is to implement the corrosion protection method for steel pipes used in a municipal water-pipe network. Results of an inhibitor protection system installed on the system are presented. Inhibitor protection was required due to the high corrosivity of the water collected by a surface intake, which had resulted in a large number of failures and low water quality, due to the presence of corrosion...