The intensity of electromagnetic fields in the range of GSM 900, GSM 1800 DECT, UMTS, WLAN in built-up areas

Mazurek, Paweł; Michalowska, Joanna; Kozieł, Joanna; Gad, Rajendra S.; Wdowiak, Artur

doi:10.15199/48.2018.12.45

Cited by 6 publications

(4 citation statements)

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“…The 01E probe is commonly used to detect both CW (Continuous Wave) and modulated signals in the frequency ranges from 100 kHz to 6.5 GHz, which in turn allow applications in the industrial, scientific, medical, telecommunications, and power plants sectors. The high sensitivity of the 01E probe makes it capable of measuring human exposure to electric fields in both public and environmental conditions [29].…”

Section: The Device For the Test Of Electromagnetic Fieldsmentioning

confidence: 99%

Assessment of Training Aircraft Crew Exposure to Electromagnetic Fields Caused by Radio Navigation Devices

et al. 2021

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The paper depicts research concerning the value of the electric component of the electromagnetic (EM) energy determined by the NHT3DL meter by Microrad with the 01E measuring probe during a number of flights made by Aero AT-3 R100, Cessna C172, and Tecnam P2006T fixed wing aircrafts and a Robinson R44 Raven helicopter. The point of reference for the recorded measurement was the normative limits of the electromagnetic field (EMF), which can influence a pilot in the course of a flight. Selected studies of the maximum value recorded by the meter was E = 10.66 V/m when landing at an airfield equipped with the VHF (Very High Frequency) omnidirectional radio range (VOR) approach system. Particular attention has been paid to changes in electric field intensity during the operation and their effects on the type of radio navigation systems as well as communication with the airfield control tower. The obtained results were validated in the Statistica 13.3 software for the purpose of a detailed stochastic analysis of the tested values. Results obtained are subject to the mandatory requirements of Directive 2013/35/EU as well as to the relevant regulations in Poland.

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Section: The Device For the Test Of Electromagnetic Fieldsmentioning

confidence: 99%

Assessment of Training Aircraft Crew Exposure to Electromagnetic Fields Caused by Radio Navigation Devices

et al. 2021

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“…The advantage of the developed traffic generator is that, unlike the known ones, it allows you to control the generated flow without the need for synchronize the input and output interfaces and to determine the packets delay of flow. It allows you to evaluate the parameters of service of hardware and software telecommunications facilities of any purpose [53][54][55][56][57][58][59].…”

Section: Performance Analysis Of the Software-based Router Using The mentioning

confidence: 99%

A Cost-Efficient Software Based Router and Traffic Generator for Simulation and Testing of IP Network

Przystupa

Beshley

et al. 2019

Electronics

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The development was carried out using the Qt5.2 integrated development environment, which uses the programming language C++. The main advantage of this environment is that the code written in it can be compiled to different platforms (for example, Windows, Linux, Mac OS). A software router based on a modular architecture has been developed. It uses the socket technology, which allows forming a program-oriented packet network with any topology, including full-coupled topology. A network traffic generator to test the developed software router has been designed. We proposed a scheme to measure the packet processing time of a router using a specialized packet-capture network interface cards (NIC 1 and NIC 2) and a novel traffic generator installed on PC. Based on an experimental test bed we confirmed that our software router provides a cost-efficient alternative to the expensive, special hardware router CISCO 2801.

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“…They need a reliable power supply for proper operation [1,42]. Improper operation, failures and accidents in the power supply network not only directly affect the operation of devices and systems, but also can indirectly affect the modes of their operation [34,49]. In general, reliability in technology and industry is very important [41], as a consequence, a lot of attention is paid to the development of methods of preventing equipment failure [14], its diagnostics and early failure detection [12,22,51].…”

Section: Introductionmentioning

confidence: 99%

Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight

Chen¹,

Przystupa²,

Ye³

et al. 2022

Eksploatacja i Niezawodność – Maintenance and Reliability

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In recent years, forecasting has received increasing attention since it provides an important basis for the effective operation of power systems. In this paper, a hybrid method, composed of kernel principal component analysis (KPCA), tree seed algorithm based on Lévy flight (LTSA) and extreme learning machine (ELM), is proposed for short-term load forecasting. Specifically, the randomly generated weights and biases of ELM have a significant impact on the stability of prediction results. Therefore, in order to solve this problem, LTSA is utilized to obtain the optimal parameters before the prediction process is executed by ELM, which is called LTSA-ELM. Meanwhile, the input data is extracted by KPCA considering the sparseness of the electric load data and used as the input of LTSA-ELM model. The proposed method is tested on the data from European network on intelligent technologies (EUNITE) and experimental results demonstrate the superiority of the proposed approaches compared to the other methods involved in the paper.

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The intensity of electromagnetic fields in the range of GSM 900, GSM 1800 DECT, UMTS, WLAN in built-up areas

Cited by 6 publications

References 0 publications

Assessment of Training Aircraft Crew Exposure to Electromagnetic Fields Caused by Radio Navigation Devices

Assessment of Training Aircraft Crew Exposure to Electromagnetic Fields Caused by Radio Navigation Devices

A Cost-Efficient Software Based Router and Traffic Generator for Simulation and Testing of IP Network

Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight

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