TC5 Sensors and Actuators Ⅱ
Time : 17:00~18:30
Room : Red Pine
Chair : Dr.Hyungtae Kim (KITECH, Korea)
17:00~17:15        TC5-1
Linear-range Extension for Linear Variable Differential Transformer Using Triangular Signal

Wittaya Koodtalang, Wandee Petchmaneelumka, Kanoknuch Songsuwankit, Vanchai Riewruja(King Mongkut's Institute of Technology Ladkrabang, Thailand)

This paper presents a linear range extension technique for the linear variable differential transformer (LVDT). The technique is based on a signal conditioning circuit using the analog lookup table. The analog table which is obtained by the triangular signal generator. Meanwhile, the referenced signal is obtained by the comparison between the excitation signal and the output signal of LVDT.The proposed technique can be implemented using available commercial devices. The experiment shows that the performances can be extended from the normal operating range to the maximum stroke range.
17:15~17:30        TC5-2
Maximum Contrast Imaging Using Chromatic Lighting and Fuzzy Logic: Analyses of Old Handwritings

Hyungtae Kim(KITECH, Korea), NamKyeong Kim, Kyeongnan Nam(Deagu Catholic University, Korea), Kwon-Hee Nam(Kyungpook National University, Korea)

Machine vision has become popular in heritage science. This study proposes maximum contrast imaging to determine the appropriate light color and intensity to increase the discriminating ability for image analyses. The contrast of an image was evaluated in accordance to various digital focus indices (DFIs). Optimal conditions of focus, light color, and intensity were determined based on the maxima of the DFIs. Fuzzy logic was applied to verify the determined owing to the different DFI maxima. The inspection targets were medieval handwritings from the Buddhist scripture printed in 15th century.
17:30~17:45        TC5-3
An Integrated Approach of Wavelet Techniques and Time Series Analysis in Eliminating MEMS Inertial Gyro Stochastic Error

Yingjie Hu, Lu Xiong(Tongji University, China)

The stochastic error of a MEMS inertial gyro consists of high frequency and low frequency components. Low frequency part is characterized by correlated noise and can be modeled by means of random process error model while the high frequency part cannot due to its white noise characteristics. An integrated method of wavelet de-noising and time series analysis is proposed in this paper: First, wavelet de-noising is employed to dispose of the high frequency noise and then time series analysis combined with Sage-Husa adaptive Kalman filter is utilized to eliminate the low frequency noise.
17:45~18:00        TC5-4
Low Cost MEMS-IMU Based DR/GPS Integrated System in Urban Environment

Woo Jung Park, Jae Hong Lee, Chang Ho Kang(Seoul National University, Korea), Myung Hwan Seo, Sang Yeon Park, Jong Yun Yeo(Hyundai MNSOFT, Korea), Jin Woo Song(Sejong University, Korea), Chan Gook Park(Seoul National University, Korea)

In this paper, we propose an MEMS-IMU based 10th order DR/GPS integrated system. Since low cost MEMS-IMU provides data with large bias, it is hard to obtain accurate position of the vehicle. To improve the performance of MEMS based navigation system, 3D DR/GPS formulation was proposed. The proposed method is tested for a land vehicle in urban area including GPS outage section. The experimental results show that the proposed method showed more stable navigation solution than conventional INS/GPS system.
18:00~18:15        TC5-5
Yaw Error Measurement Reduction of TMDP

Vittaya Tipsuwanporn(King Mongkut’s Institute of Technology Ladkrabang, Thailand), Wanchai Chinchusak(Department of Science Service, Thailand), Arjin Numsomran(King Mongkut’s Institute of Technology Ladkrabang, Thailand)

: Recently, the yaw sensor would need to be developed their accuracies and repeatability. This research presents the design of a couple single beam laser (CSL) technique for residual error reduction of tape measuring development project. The result of comparison method of CSL and yaw module with laboratory’s angular interferometer are satisfactory, and the deviation of measurement error is within and less than 0.1%.

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