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Dive into the research topics where Petr Mlynek is active.

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Featured researches published by Petr Mlynek.


international symposium on power line communications and its applications | 2014

Measurements and evaluation of PLC modem with G3 and PRIME standards for Street Lighting Control

Petr Mlynek; Martin Koutny; Jiri Misurec; Zdenek Kolka

The paper surveys narrowband power line communications (PLCs) in the context of Smart Grid and remote Street Lighting Control. The specifications G3-PLC and PRIME are discussed. The field test results and data rate measurements are presented for different scenarios. They demonstrate the problems encountered when the PLC signal is necessary to be sent through the switchgear, complicated topology, noisy topology and topology similar to simple street-light topology.


Measurement Science Review | 2013

Random Channel Generator for Indoor Power Line Communication

Petr Mlynek; Jiri Misurec; Martin Koutny

The paper deals with creating an indoor power line model based on random parameters. This model approximates the real parameters of the power line communication with sufficient precision. A detailed analysis of earlier and current research in power line communication modelling, especially for power line models, is described. Measurement of transmission line parameters and power line model verification follows. Based on model analysis and load impedance measurement, a mathematical description of the model is designed. A reference model for different scenarios is realized too. The last part gives the analysis of this model and simulation results.


Sensors | 2016

A Harmonized Perspective on Transportation Management in Smart Cities: the Novel IoT-Driven Environment for Road Traffic Modeling

Pavel Masek; Jan Mašek; Petr Frantík; Radek Fujdiak; Aleksandr Ometov; Jiri Hosek; Sergey Andreev; Petr Mlynek; Jiri Misurec

The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.


Measurement Science Review | 2015

Analysis and Experimental Evaluation of Power Line Transmission Parameters for Power Line Communication

Petr Mlynek; Jiri Misurec; Martin Koutny; Radek Fujdiak; T. Jedlicka

Abstract The article describes a way of evaluating the power line channel frequency response and input impedance by means of the linear time-invariant (LTI) power line generator. Two possible methods are introduced for the calculation of primary parameters: the first method depends on the physical realization and physical dimension of the cable, and the second method is derived from the data provided by typical electrical cable manufacturers. Based on these methods, a comparison of transfer functions was made. This is followed by measurement evaluation and numerical verification on a simple topology


international conference on telecommunications | 2012

Noise modeling for power line communication model

Petr Mlynek; Jiri Misurec; Martin Koutny

Detailed knowledge of the interference scenario is necessary for power line communication (PLC) systems. PLC model with appropriate noise model creates the basics in a way of searching for the most powerful coding and modulation techniques. This paper brings an overview of PLC communication model focusing mainly on a noise scenario. Finally, a blocks of the PLC communication model are mentioned and the PLC simulation model is created concerning all major negative influences of the PLC environment.


communication systems networks and digital signal processing | 2016

Using genetic algorithm for advanced municipal waste collection in Smart City

Radek Fujdiak; Pavel Masek; Petr Mlynek; Jiri Misurec; Ekaterina Olshannikova

The Internet of Things (IoT), as expected infrastructure for envisioned concept of Smart City, brings new possibilities for the city management. IoT vision introduces promising and economical solutions for massive data collection and its analysis which can be applied in many domains and so make them operating more efficiently. In this paper, we are discussing one of the most challenging issues - municipal waste-collection within the Smart City. To optimize the logistic procedure of waste collection, we use own genetic algorithm implementation. The presented solution provides calculation of more efficient garbage-truck routes. As an output, we provide a set of simulations focused on mentioned area. All our algorithms are implemented within the integrated simulation framework which is developed as an open source solution with respect to future modifications.


ieee pes innovative smart grid technologies conference | 2013

Design of secure communication in network with limited resources

Petr Mlynek; Jiri Misurec; Martin Koutny; Ondrej Raso

The article deals with the design of secure communication for terminal devices in the energy sector via networks with limited resources. The key exchange and encryption method were selected in terms of security and energy consumption. Energy consumption needs to be solved for security methods to be implemented into low-power microcontrollers. An analysis of Public Key Cryptography for implementation into these microcontrollers was realized too. Finally, a library for basic and modular arithmetic operations was realized, and memory size and computational requirements were measured. The designed concept of secure communication can be used for future integration into Smart Grid networks.


global information infrastructure and networking symposium | 2013

Hybrid power line model based on frequency and time-variant system

Petr Mlynek; Martin Koutny; Jiri Misurec

The article focuses on a power line model realization based on frequency and time-variant system. The power line model is designed on a hybrid bottom-up approach based on set of topologies and random generation of topology parameters. Earlier power line modelling approaches are analysed. Based on this analysis and hybrid modelling approach, the linear periodically time-variant generator is proposed. This generator is based on frequency and time-variant system. The last part gives the simulation results.


international conference on telecommunications | 2011

HomePlug simulation model for analysis of the rounding functions

Martin Koutny; Petr Mlynek; Petr Mrakava

There are a lot of MAC approaches in the power line communication. This paper is focused on the most widespread broadband power line communication, HomePlug system. The paper deals with the medium access control function of the HomePlug system. The various probabilistic distributions were tested for random values generating. We show, that it is important to choose the suitable rounding function for a random integer number getting.


international conference on telecommunications | 2011

Medical traffic modeling for delay measurement in bottleneck network

Petr Mlynek; Jiri Misurec; Martin Koutny; Otto Dostál

The article deals with the delay of medical data in queues, caused by a bottleneck in the network. Primarily it focuses on the mathematical basis for defining the entrance traffic based on exponential distribution in the Network simulator and next it describes the possibility of calculating the delay from the trace file. Another alternative for the entrance traffic is also loading the input data from a file. In the simulation part a model of input medical imaging data is implemented, and simulations are performed on a network with a bottleneck, when the delay is measurement for different combinations of active input medical imaging sources.

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Jiri Misurec

Brno University of Technology

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Radek Fujdiak

Brno University of Technology

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Martin Koutny

Brno University of Technology

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Jan Slacik

Brno University of Technology

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Pavel Masek

Brno University of Technology

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Ondrej Raso

Brno University of Technology

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Jiri Hosek

Brno University of Technology

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Zdenek Kolka

Brno University of Technology

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Lukas Malina

Brno University of Technology

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