scholarly journals Metode Pengukuran Kapasitansi Dengan Menggunakan Mikrokontroler Arduino Uno

2019 ◽  
Vol 3 (1) ◽  
pp. 36-45
Author(s):  
Valentinus Galih Vidia Putra ◽  
Andrian Wijayono ◽  
Endah Purnomosari ◽  
Ngadiono Ngadiono ◽  
Irwan Irwan
Keyword(s):  
Data Acquisition ◽  
Electric Circuit ◽  
Capacitance Measurements ◽  
Data Acquisition Systems ◽  
Arduino Uno ◽  
Using Data ◽  
Rc Circuit ◽  
Charge Capacitance ◽  
Maximum Voltage

RC circuit (Resistor-Capacitor) is an electric circuit that has a combination of resistor and capacitor components which are installed either series or parallel. This research was conducted to measure the capacitance of two capacitors with different capacitances with only using one resistor. This study aims to compare the capacitance both experimentally (using data acquisition systems) and theoretically. Capacitance measurements were carried out experimentally using Arduino Uno and at a maximum voltage of 5 volts. In this research, it has been successfully determined the charge capacitance of the capacitors, both in experiment and theory. It has been found the correlation of the results between experiment and theory (the value of R2 in charging and discharging process is greater than 0.95).

scholarly journals A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling

2018 ◽  
Vol 3 (2) ◽  
pp. 245-263
Author(s):  
Franco van Wyk ◽  
Anahita Khojandi ◽  
Brian Williams ◽  
Don MacMillan ◽  
Robert L. Davis ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Data Driven ◽  
Physiological Data ◽  
Benefit Analysis ◽  
Data Acquisition Systems ◽  
Using Data ◽  
Data Driven Modeling

Using computer clusters for processing spatial-temporal data streams in data acquisition systems

2018 ◽  
Vol 935 (5) ◽  
pp. 54-63
Author(s):  
A.A. Maiorov ◽  
A.V. Materuhin ◽  
I.N. Kondaurov
Keyword(s):  
Data Acquisition ◽  
Data Streams ◽  
Spatial Data ◽  
High Performance ◽  
Temporal Data ◽  
Cyberphysical Systems ◽  
Software Environment ◽  
Computer Clusters ◽  
Data Acquisition Systems ◽  
Essential Components

Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this new economy. Such solutions are necessary, for example, for cyberphysical systems. Essential components of cyberphysical systems are high-performance and easy-scalable data acquisition systems based on smart geosensor networks. This article discusses the problem of choosing a software environment for this kind of systems, provides a review and a comparative analysis of various open source software environments designed for large spatial data and spatial-temporal data streams processing in computer clusters. It is shown that the software framework STARK can be used to process spatial-temporal data streams in spatial-temporal data streams. An extension of the STARK class system based on the type system for spatial-temporal data streams developed by one of the authors of this article is proposed. The models and data representations obtained as a result of the proposed expansion can be used not only for processing spatial-temporal data streams in data acquisition systems based on smart geosensor networks, but also for processing spatial-temporal data streams in various purposes geoinformation systems that use processing data in computer clusters.

A Generic Streaming Software Platform Design for High-energy Physics Data Acquisition Systems

2021 ◽  
pp. 1-1
Author(s):  
Tianxing Wang ◽  
Junfeng Yang ◽  
Hongchao Wang ◽  
Hongwei Yu ◽  
Zhengyang Sun ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Energy Physics ◽  
High Energy ◽  
Software Platform ◽  
Platform Design ◽  
Data Acquisition Systems ◽  
Energy Physics

Implementation of IEEE-1588 timing and synchronization for ATCA control and data acquisition systems

2012 ◽  
Vol 87 (12) ◽  
pp. 2178-2181 ◽  
Author(s):  
Miguel Correia ◽  
Jorge Sousa ◽  
Álvaro Combo ◽  
António P. Rodrigues ◽  
Bernardo B. Carvalho ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Ieee 1588 ◽  
Data Acquisition Systems
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