Picosecond-precision multichannel autonomous time and frequency counter

R Szplet, P Kwiatkowski, K Różyc, Z Jachna… - Review of Scientific …, 2017 - pubs.aip.org
This paper presents the design, implementation, and test results of a multichannel time
interval and frequency counter developed as a desktop instrument. The counter contains …

[HTML][HTML] Quality evaluation of the forecasting system for the Polish Timescale by means of the Group Method of Data Handling type neural network

Ł Sobolewski - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The article presents the results aimed at assessing the effectiveness of the applied
forecasting system based on the forecasting procedure using a GMDH (Group Method of …

Algorithm for predicting [UTC–UTC (k)] by means of neural networks

W Miczulski, Ł Sobolewski - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents a new algorithm for predicting the deviations for local timescale UTC (k)
in relation to the coordinated universal time (UTC) scale by means of group method of data …

Virtual Training Laboratory for Primary Impedance Metrology

J Kaczmarek, M Ortolano, O Power… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article presents the concept and some aspects of the physical implementation of a
virtual training laboratory (VTL) in the field of primary impedance metrology. The creation of …

Experimental verification of the neural network predicting procedure applied for UTC (PL)

Ł Sobolewski, W Miczulski… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The article presents and summarizes the research results of the UTC-UTC (PL) differences
predicting procedure for the Polish Time Scale UTC (PL) developed at the Institute of …

Application of GMDH type neural network for predicting UTC (k) timescales realized on the basis of hydrogen masers

L Sobolewski - 2017 Joint Conference of the European …, 2017 - ieeexplore.ieee.org
The article presents research results on predicting the deviations for UTC (AOS) timescale
realized on the basis of hydrogen maser by means of GMDH type neural network. Input data …

Predicting the corrections for the Polish Timescale UTC (PL) using GMDH and GRNN neural networks

Ł Sobolewski - 2014 European Frequency and Time Forum …, 2014 - ieeexplore.ieee.org
The article presents the results of research on the prediction of the polish timescale UTC
(PL) based on GMDH and GRNN neural networks, which were compared with the results …

Methods of constructing time series for predicting local time scales by means of a GMDH-type neural network

Ł Sobolewski, W Miczulski - Applied Sciences, 2021 - mdpi.com
Ensuring the best possible stability of UTC (k)(local time scale) and its compliance with the
UTC scale (Universal Coordinated Time) forces predicting the [UTC-UTC (k)] deviations, the …

A new resilient time and frequency infrastructure for UTC (NPL)

DJM Jones, M Aikomo, S Ashford… - Journal of Physics …, 2024 - iopscience.iop.org
Abstract The Resilient Enhanced Time Scale Infrastructure (RETSI) is an atomic clock
network distributed geographically in secure locations, that is being developed as part of …

[PDF][PDF] Predicting the Lithuanian Timescale UTC (LT) by means of GMDH neural network

Ł Sobolewski - Biuletyn Wojskowej Akademii Technicznej, 2017 - bibliotekanauki.pl
The aim of the study is to examine the effectiveness of applying GMDH-type neural network
and the developed procedure for predicting UTC (k) timescales, which are characterized …