Impact and trends in embedding field programmable gate arrays and microcontrollers in scientific instrumentation

M Carminati, G Scandurra - Review of Scientific Instruments, 2021 - pubs.aip.org
Microcontrollers and field-programmable gate arrays have been largely leveraged in
scientific instrumentation since decades. Recent advancements in the performance of these …

Research on mining of applied mathematics educational resources based on edge computing and data stream classification

L Lu, J Zhou - Mobile Information Systems, 2021 - Wiley Online Library
Facing the massive data of higher education institutions, data mining technology is an
intelligent information processing technology that can effectively discover knowledge from …

E‐Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing

Q Qu, C Liu, X Bao - Mobile Information Systems, 2021 - Wiley Online Library
In recent years, the rapid development of information technology has affected the way the
world economy operates. The emergence of e‐commerce has greatly shortened the time …

Detecting discontinuities from in situ space measurements: Method and FPGA implementation

C Munteanu, DC Turicu, O Creţ… - Earth and Space …, 2022 - Wiley Online Library
The analysis in real time of space data variability is essential for scientists and space
mission controllers. Automated tools designed to extract key descriptors of variability are …

An FPGA-based solution for computing a local stationarity measure from satellite data

DC Turicu, O Creţ, M Echim, C Munteanu - IEEE Access, 2022 - ieeexplore.ieee.org
The analysis of data variability from in-situ observations is essential for scientists and space
mission controllers. Given the limited resources available on-board a spacecraft as well as …

An integrated nonlinear analysis (INA) software for space plasma turbulence

C Munteanu, P Kovács, M Echim - Earth and Space Science, 2023 - Wiley Online Library
We built an integrated nonlinear analysis software (INA)‐designed to study space plasma
turbulence and intermittency. The MATLAB programming environment was used for the …

Multivariate time series prediction of high dimensional data based on deep reinforcement learning

X Ji, H Zhang, J Li, X Zhao, S Li… - E3S Web of …, 2021 - e3s-conferences.org
In order to improve the prediction accuracy of high-dimensional data time series, a high-
dimensional data multivariate time series prediction method based on deep reinforcement …

FPGA design for on‐board measurement of intermittency from in‐situ satellite data

N Deak, O Creț, C Munteanu… - Earth and Space …, 2021 - Wiley Online Library
Intermittency is a fundamental property of space plasma dynamics, characterizing turbulent
dynamical variables as well as passive scalars. Its qualitative and quantitative description …

Big data acquisition of parallel battery back state and energy management system using edge computing

X Zhang - International Journal of Grid and Utility …, 2022 - inderscienceonline.com
The purpose is to ensure the big data acquisition of parallel battery back state, and the safe
and effective operation of the energy management system. Edge devices are combined with …