A Novel Integrated Portable Elasticity Measurement System

A low cost novel integrated portable elasticity measurement system is developed by using strain gauges and photoconductive sensors on a coaxial movement mechanism for processing signal of force and displacement synchronously. Real-time acquisition data are averaged to reduce transmission delay for assuring signal taken exactly and synchronously. Switching circuit modules connected to the multiplexer are designed for processing nonlinear sensing data using a piecewise linear technology. An experimental study of force, displacement and elasticity is undertaken to illustrate the adjustment operation of tapping keys in alto saxophones. Experimental results show that the resolution and operation range of displacement and force are 0.1 mm in the range of 0 to 40 mm and 10 g in the range of 0 to 1000 g, respectively. The average error of the elasticity in real-time measurement is 2.07 %. The application of tapping keys adjustment using the system are outlined and discussed in three-zone elasticity models.

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Low-Cost and Real-Time Measurement System for Electrical Energy Measuring of a Smart Microgrid

Smart Cities - Communications in Computer and Information Science ◽

10.1007/978-3-030-69136-3_1 ◽

2021 ◽

pp. 3-16

Author(s):

Oscar Izquierdo-Monge ◽

Paula Peña-Carro ◽

Mariano Martín Martínez ◽

Luis Hernández-Callejo ◽

Oscar Duque-Perez ◽

...

Keyword(s):

Real Time ◽

Measurement System ◽

Low Cost ◽

Electrical Energy ◽

Time Measurement ◽

Real Time Measurement

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Management of Memory in a Real-Time Measurement System Based on a Signal Processor

Metrology and Measurement Systems ◽

10.2478/v10178-010-0048-y ◽

2010 ◽

Vol 17 (4) ◽

Author(s):

Łukasz Ćwikliński ◽

Wiesław Kiciński

Keyword(s):

Real Time ◽

Measurement System ◽

Time Measurement ◽

Real Time Measurement ◽

Signal Processor

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Real-time Measurement System of Cycloduction Movement Based on Fast Ellipse Detection

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.127.591 ◽

2007 ◽

Vol 127 (4) ◽

pp. 591-598 ◽

Cited By ~ 3

Author(s):

Yuusuke Sakashita ◽

Hironobu Fujiyoshi ◽

Yutaka Hirata ◽

Hisanori Takamaru ◽

Naoki Fukaya

Keyword(s):

Real Time ◽

Measurement System ◽

Time Measurement ◽

Ellipse Detection ◽

Real Time Measurement

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Research of spatial high-pass filtering algorithm in particles real-time measurement system

10.1117/12.866485 ◽

2010 ◽

Author(s):

Xuanhong Jin ◽

Shuguang Dai ◽

Pingan Mu

Keyword(s):

Real Time ◽

Measurement System ◽

Time Measurement ◽

Filtering Algorithm ◽

Real Time Measurement ◽

High Pass

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A two-stage method for real-time baseline drift compensation in gas sensors

Measurement Science and Technology ◽

10.1088/1361-6501/ac491f ◽

2022 ◽

Author(s):

Chao Zhang ◽

Wen Wang ◽

Pan Yong ◽

Lina Cheng ◽

Shoupei Zhai ◽

...

Keyword(s):

Real Time ◽

Gas Sensors ◽

Piecewise Linear ◽

Low Cost ◽

Piecewise Linear Approximation ◽

Two Stage ◽

Baseline Drift ◽

Ambient Temperatures ◽

Future Design ◽

Drift Compensation

Abstract Baseline drift caused by slowly changing environment and other instability factors affects significantly the performance of gas sensors, resulting in reduced accuracy of gas classification and quantification of the electronic nose. In this work, a two-stage method is proposed for real-time sensor baseline drift compensation based on estimation theory and piecewise linear approximation. In the first stage, the linear information from the baseline before exposure is extracted for prediction. The second stage continuously predicts changing linear parameters during exposure by combining temperature change information and time series information, and then the baseline drift is compensated by subtracting the predicted baseline from the real sensor response. The proposed method is compared to three efficient algorithms and the experiments are conducted towards two simulated datasets and two surface acoustic wave sensor datasets. The experimental results prove the effectiveness of the proposed algorithm. Moreover, the proposed method can recover the true response signal under different ambient temperatures in real-time, which can guide the future design of low-power and low-cost rapid detection systems.

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