A New Concept of Optical Encoder Displacement Sensors: Gray Encoding Patterns and a Curve Fitting Method

A new optical encoder system is presented for displacement measurement by the curve fitting method. In this paper, another pondering model is based on the previous development. That is the new measurement method using a homemade periodical gray level code, which can be used to replace the traditional doublet grating. A high precision is achieved by a fitting method with one single-frequency harmonic function. The experiment result shows that the concept is feasible.

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A New Concept of Optical Encoder Displacement Sensors: Gray Encoding Patterns and a Curve Fitting Method

Materials Science Forum - Progress on Advanced Manufacture for Micro/Nano Technology 2005 ◽

10.4028/0-87849-990-3.349 ◽

2006 ◽

pp. 349-354

Author(s):

Yeh Fen Fu ◽

L.H. Shyu ◽

Y.T. Chen ◽

Wen Yuh Jywe ◽

C.H. Liu

Keyword(s):

Curve Fitting ◽

Optical Encoder ◽

Displacement Sensors ◽

Fitting Method ◽

Curve Fitting Method

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Texture Image Segmentation Based on GLCM

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.220-223.1398 ◽

2012 ◽

Vol 220-223 ◽

pp. 1398-1401 ◽

Cited By ~ 3

Author(s):

Min Li ◽

Jian Jun Liao

Keyword(s):

Image Segmentation ◽

Curve Fitting ◽

Gray Level ◽

Texture Image ◽

Object Contour ◽

Fitting Method ◽

Texture Image Segmentation ◽

The Matrix ◽

Curve Fitting Method ◽

Occurrence Matrix

The paper proposed a method on marble texture image segmentation based on Gray Level Co-occurrence Matrix (GLCM). At first, compute the Contrast matrix on basis of GLCM. Then choose the maximum of the matrix as the threshold to segment the object. At last extract the object contour with curve fitting method. Experiment results show that the method is accuracy.

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Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

Metrology and Measurement Systems ◽

10.2478/v10178-012-0033-8 ◽

2012 ◽

Vol 19 (2) ◽

pp. 381-394

Author(s):

José Pereira ◽

Octavian Postolache ◽

Pedro Girão

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Measurement System ◽

Curve Fitting ◽

System Performance ◽

Redox Potentials ◽

Voltage Sweep ◽

Gaussian Curve ◽

Fitting Method ◽

Curve Fitting Method

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System PerformanceThis paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.

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