A New Model to Accelerate Data Collection

Ke Wei Li

doi:10.4028/www.scientific.net/AMR.1083.155

Paper Titles

Surface Condensation Assessment Using Probabilistic Calculation
p.131

Comparison of Optical and Scintillation Images Obtained by Using a Fiber-Optic Beta/Gamma Imaging Detector
p.137

Stereo Image Matching Based on SURF Descriptor
p.142

A Method of Experimental Design for GNSS-Dot Net under Jamming Attack
p.148

A New Model to Accelerate Data Collection
p.155

Frequency Measurement and Analysis on Liquid-Filled Pipe Based on Fiber Bragg Grating Sensor
p.161

Simulation Analysis of the Multi-Parameter Influence on FBG Peak Reflectivity
p.168

Influence of Transformer Rated Secondary Load Differences on Electric Energy Metering
p.174

Testing Level Measurement Devices by Imitating Sensor Signals
p.178

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1083A New Model to Accelerate Data Collection

A New Model to Accelerate Data Collection

Abstract:

This paper presents a new model based on assembly line to accelerate the speed of data collection. Traditional data collecting and state monitoring technology requires a CPU which is simple but results time consuming. Assembly line models make the data collection and monitoring process simultaneously and hence improve the efficiency. This paper compares several processing hierarchy and at the end propose a feasible model structure.

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Periodical:

Advanced Materials Research (Volume 1083)

Pages:

155-160

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1083.155

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Online since:

January 2015

Authors:

Ke Wei Li*

Keywords:

Assembly Line Model, Concurrent Processing, Data Collection

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