Ultrasonic Positioning Using Curve-Fitting Extrapolation and Redundant Information Fusion

2011 ◽  
Vol 105-107 ◽  
pp. 1851-1855 ◽  
Author(s):  
Li Bin Lu ◽  
Ding Xin Chen ◽  
Guo Dong Jin ◽  
Rong Ming Li ◽  
Ying Jie Gao

To study the problem of high precision, the reason why error appears in the ultrasonic positioning process is analyzed. To decrease the effect of error, this paper raises the algorithm of curve-fitting extrapolation and redundant information fusion. The experiment and contrast on precision between this algorithm and other classical ones demonstrate that, the new algorithm could effectively control measurement errors and raise the precision of ultrasonic positioning.

2010 ◽  
Vol 47 (4) ◽  
pp. 041202
Author(s):  
魏豪明 Wei Haoming ◽  
邢廷文 Xing Tingwen ◽  
李云 Li Yun ◽  
刘志祥 Liu Zhixiang

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsin Shafi

PurposeDespite their economic and cultural significance, the growth of handicraft micro firms is vulnerable, given their small size and resource limitations. By examining the impact of cooperation on firm performance via innovation capability, this study shows how micro firms can address constraints and achieve sustainable development by acquiring and utilizing external resources, complemented by innovation capability, through internal development.Design/methodology/approachData were collected from 164 handicraft micro firms in Pakistan via a questionnaire. Structural equation modeling was employed to estimate interrelations of various constructs simultaneously and control measurement errors.FindingsThe impact of cooperation with customers and suppliers on firm performance via innovation capability was positive and significant. Contrarily, competitor cooperation did not significantly affect innovation capability. Furthermore, there was a positive and significant interaction effect of customer and competitor cooperation on innovation capability. Thus, micro firms must reinforce their customer and supplier relationships through innovation capability and internal transformation for sustainable development. Moreover, a balance must exist between cooperation and competition to achieve optimal innovation returns for the sustainable development of firms.Originality/valueThis study emphasized that micro firms must strengthen their customer and supplier relationships via innovation capability and internal development to achieve higher performance. Moreover, the study introduced a new dimension for measuring firm performance.


2013 ◽  
Vol 552 ◽  
pp. 434-439
Author(s):  
Da Mu ◽  
Quan Yong Li ◽  
Bo Qi Wu ◽  
Yu Nan Du

For tFor t For tFor the imaging advantages of aspheric optical component, it has been widely used in the aviation, aerospace, defense and civilian high-technology. Aspherical surface shape test is a key factor restricted aspheric processing and a complex sophisticated testing techniques. The well known measurement methods are faulty. Each method has advantages and disadvantages; many methods cannot be used for online testing. In this paper,the geometric principle of a swing-arm profilometer as a novel method to measure aspherics is introduced.The deviation between the actual and the ideal of aspherical surface shape is confirmed by the high-precision measurement for the vertical height with a specific path on the aspherical optical surfaces. By adjusting the location of measuring devices to maintain the distance of rotation center to the center of workpiece equal to the length of swing-arm,we can achieve the measurement for the workpiece of different machining tool. The measurement system mainly consists of the lifting and landing system of the high-precision axis,the high-precision level turntable rotary table, the high rigidity measuring arm and the high precision measurement sensors. And the follow-up data processing puts forward a number of error correction models at the same time. The advantages of the measurement method are that the measurement sports is only a simple turning motion .It will be helpful to reduce measurement errors and improve the efficiency of measurement.


2016 ◽  
Vol 109 (14) ◽  
pp. 141602 ◽  
Author(s):  
Jongsu Lee ◽  
Pekka Isto ◽  
Hakyung Jeong ◽  
Janghoon Park ◽  
Dongjin Lee ◽  
...  

Author(s):  
Vasile Andrei ◽  
Cornel Marin ◽  
Alexis Negrea

Abstract According to the IWA norms, the water loss category includes also the apparent loss water due to measurement errors of the water meters used at the connections. This paper presents the experimental results obtained during two years of registrations in TARGOVISTE’s Water Company network. A program for verifying the water meters used for connections has been implemented according to a statistical distribution, depending on the number of appliances and their dimensions. Using a theoretical simulation model, calibrated on the basis of the actual reference flows measured on the metrology approved measuring stand, a procedure was developed to assess the level of deviations in the fully metered water distribution network. Depending on the values of deviations and flows actually recorded by the meters in the distribution network, it was possible to estimate the percentage of the losses from the actually used water meters.


Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2359 ◽  
Author(s):  
Sai Xu ◽  
Xiuxiu Sun ◽  
Huazhong Lu ◽  
Qianqian Zhang

The objective of this study was to find an intelligent and fast method to detect the type, blended ratio, and mixed ratio of ancient Pu’er tea, which is significant in maintaining order in the Pu’er tea industry. An electronic nose (E-nose) and a visible near infrared spectrometer (VIS/NIR spectrometer) were applied for tea sampling. Feature extraction was conducted using both the traditional method and a convolutional neural network (CNN) technique. Linear discriminant analysis (LDA) and partial least square regression (PLSR) were applied for pattern recognition. After sampling while using the traditional method, the analysis of variance (ANOVA) results showed that the mean differential value of each sensor should be selected as the optimal feature extraction method for E-nose data, and raw data comparison results showed that 19 peak/valley values and two slope values were extracted. While the format of E-nose data was in accord with the input format for CNN, the VIS/NIR spectrometer data required matrixing to meet the format requirements. The LDA and PLSR analysis results showed that CNN has superior detection ability, being able to acquire more local features than the traditional method, but it has the risk of mixing in redundant information, which can act to reduce the detection ability. Multi-source information fusion (E-nose and VIS/NIR spectrometer fusion) can collect more features from different angles to improve the detection ability, but it also contains the risk of adding redundant information, which reduces the detection ability. For practical detection, the type of Pu’er tea should be recognizable using a VIS/NIR spectrometer and the traditional feature extraction method. The blended ratio of Pu’er tea should also be identifiable by using a VIS/NIR spectrometer with traditional feature extraction. Multi-source information fusion with traditional feature extraction should be used if the accuracy requirement is extremely high; otherwise, a VIS/NIR spectrometer with traditional feature extraction is preferred.


1979 ◽  
Vol 237 (5) ◽  
pp. R366-R367
Author(s):  
D. R. Barker ◽  
L. M. Diana

Author(s):  
Vijay Srivatsan ◽  
Reuven Katz ◽  
Debasish Dutta ◽  
Bartosz Powałka

High-precision non-contact dimensional inspection systems typically utilize high-precision motion stages to manipulate the sensor. Such motion stages are susceptible to position errors, which need to be characterized. While geometric and thermal errors can be characterized and compensated, compensation of dynamic errors is a challenging task. This paper presents a method for dynamic error characterization that is significantly different from dynamic error characterization on contact-based systems. A mathematical model to translate the vibrations on the sensor to the measurement errors on the part is presented. Through experiments on a four-axis system, a relationship between sensor motion speed, sampling frequency, and measurement accuracy is derived. The results of the experiments are used to describe the selection of optimal operating parameters for best accuracy and least uncertainty.


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