Computational accelerators for analog-to-digital and digital processing of sensor signals in information measuring systems

2018 ◽  
Author(s):  
Yaroslav Nykolaichuk ◽  
Borys Krulikovskyi ◽  
Volodymyr Gryga ◽  
Alina Davletova
Keyword(s):  
Digital Processing ◽  
Measuring Systems ◽  
Analog To Digital ◽  
Information Measuring ◽  
Sensor Signals

scholarly journals Susceptibility of surface texture parameters to acquisition point clouds with digital data processing of data from optical measuring systems

2019 ◽  
Vol 252 ◽  
pp. 03020 ◽  
Author(s):  
Emilia Bachtiak-Radka ◽  
Sara Dudzińska ◽  
Daniel Grochała ◽  
Stefan Berczyński
Keyword(s):  
Data Processing ◽  
Surface Texture ◽  
Surface Characteristics ◽  
Point Clouds ◽  
Digital Processing ◽  
Digital Data ◽  
Measuring Systems ◽  
Optical Measuring ◽  
Digital Data Processing ◽  
The Impact

Digital processing of the recorded point clouds on innovative surfaces could facilitate the operator’s planning of the metrological process and give more freedom in the assessment of the surface texture. The current state of knowledge about surface characteristics, precision and quality of measurements and especially the repeatability of measurements – not only in the laboratory environment but also in the industry pose a big challenge. The paper presents research works related to the identification of the impact of the method of acquisition point clouds using digital data processing on surface texture. The main assumption of the paper was to carry out, according to the prepared plan of the experiment, the series of sample measurements with the use of the optical measuring systems AltiSurf A520 in the Laboratory of Surface Topography at the West Pomeranian University of Technology in Szczecin. The next task was to determine the impact of the digital data processing strategy in order to identify the significance of the impact (conditions and methods of filtration), which in practice largely determines the repeatability and reproducibility of the parameter values of the geometry surface structure.

scholarly journals AREUS: A Software Framework for ATLAS Readout Electronics Upgrade Simulation

2019 ◽  
Vol 214 ◽  
pp. 02006 ◽  
Author(s):  
Nico Madysa
Keyword(s):  
Digital Signal ◽  
Digital Processing ◽  
Time Signal ◽  
Reconstruction Algorithms ◽  
Analog To Digital ◽  
Readout Electronics ◽  
Analog To Digital Conversion ◽  
Long Duration ◽  
Crossing Time ◽  
Detailed Simulation

The design of readout electronics for the LAr calorimeters of the ATLAS detector to be operated at the future High-Luminosity LHC (HL-LHC) requires a detailed simulation of the full readout chain in order to find optimal solutions for the analog and digital processing of the detector signals. Due to the long duration of the LAr calorimeter pulses relative to the LHC bunch crossing time, out-of-time signal pileup needs to be taken into account. For this purpose, the simulation framework AREUS has been developed. It models analog-to-digital conversion, gain selection, and digital signal processing at bit precision, including digitization noise and detailed electronics effects. Trigger and object reconstruction algorithms are taken into account in the optimization process. The software implementation of AREUS, the concepts of its main functional blocks, as well as optimization considerations will be presented. Various approaches to introduce parallelism into AREUS will be compared against each other.

Identifying Energy Efficiency Potentials by Applying Flexible Measuring Systems

2014 ◽  
Vol 655 ◽  
pp. 47-52 ◽  
Author(s):  
Moritz Hamacher ◽  
Johannes Boehner ◽  
Arnim Reger
Keyword(s):  
Energy Efficiency ◽  
Energy Savings ◽  
Measurement Data ◽  
Measuring System ◽  
Use Case ◽  
Measuring Systems ◽  
Flow Rates ◽  
Efficiency Measures ◽  
Sensor Signals ◽  
Detailed Level

This paper presents a flexible measuring system to identify energy efficiency potentials in the context of the ISO 50001 standard. On the basis of five essential requirements the flexible measuring system was structured into 4 modules which can be separately extended or modified. As the flexibility was in focus of the development this system it is able to measure the energy consumption on a very detailed level of the components of a machine. In addition it can also acquire measurement data of different other sensor signals like temperatures, flow rates etc. To evaluate the usability of the system in order to identify energy efficiency measures a use case was conducted. Results of the measurement data as well as possible energy savings of the investigated machinery are discussed at the end of this paper.

Sign in / Sign up

Export Citation Format

Share Document