• Title/Summary/Keyword: TOF 센서

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Local/Global Structural Health Monitoring System Using Piezoelectric Sensors (압전센서를 이용한 구조물 국부/광역 손상 진단 시스템)

  • Kim, Byung-Soo;Kwon, Hyeok-Sang;Kim, Jin-Wook;Roh, Yong-Rae
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.4
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    • pp.308-317
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    • 2009
  • In the present work, a sensor system composed of an oscillator sensor and a Lamb wave sensor is proposed for the purpose of structural health monitoring. The oscillator sensing system detecting the shift of a structural resonant frequency in proportion to the amount of defects in the structure is a pretty sensitive and simple device, but its detectable range is limited to its local zone. The Lamb wave sensor system, however, is applicable to global detection of the defects. This study is aimed at investigating the feasible combination of the two systems to exploits their merits simultaneously. The scheme to use PZT patches as the oscillator sensor as well as the Lamb wave sensor was proposed to identify the position, length and number of cracks by means of TOF and amplitude of signals, and its validity was confirmed through experiments.

Residual Neuromuscular Sensing Platform Development using Sensor of Nerve Stimulation Response Measurement during Anesthesia (신경자극반응 측정 센서를 이용한 마취 시 잔여근이완 감지 플랫폼 구현)

  • Shin, Hyo-Seob;Kim, Young-Kil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.6
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    • pp.1505-1510
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    • 2010
  • Response to nerve stimulation platform for implementing measures to detect finger movement has been functioning as an important factor. The finger movement of the muscle response to nerve stimulation and sensing Actuator for the H/W development is needed. In addition, a low power embedded CPU based on the top was used. H/W configuration portion of the isolation power, constant current control, High impedance INA, amplifier parts, and the stimulus mode and the Micro-control the status of current, AD converter Low Data obtained through the processing system is implemented.

A Study of the Optical System of a Time-of-flight Laser Distance Sensor for a Long Distance with Minimized Divergence Beam Angle (빔 확산각 최소화를 통한 장거리 측정용 ToF 레이저 거리센서 광학계 설계 연구)

  • Lee, Hyun-Hwa;Seo, Jae-Yeong;Jung, Mee-Suk
    • Korean Journal of Optics and Photonics
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    • v.32 no.2
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    • pp.79-85
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    • 2021
  • In this paper, a study is conducted on the design of an optical system of a time-of-flight (TOF) laser distance sensor that can measure long distances by minimizing beam divergence. When measuring a long distance, the amount of light on the object's surface decreases as the distance increases, due to the diffusion angle of the laser beam, and thus the beam at the sensor also decreases, causing measurement errors. In general, a cylindrical lens is used to reduce the divergence beam angle. However, an optical system using a cylindrical lens has the problem of degraded performance due to the difficulty with assembly tolerance, as well as the problem of the increased size of the optical system, and thus the use of aspherical lenses has been increasing recently. Therefore, in this study, the optical efficiencies and assembly tolerances of optical systems using respectively a cylindrical lens and an aspherical lens are compared and analyzed.

Development of walking assistance robot for the blind (시각장애인을 위한 보행보조 로봇의 개발)

  • Kang, Jeong-Ho;Kim, Chang-Geol;Lee, Seung-Ha;Song, Byung-Seop
    • Journal of Sensor Science and Technology
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    • v.16 no.4
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    • pp.286-293
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    • 2007
  • For safe walking of the people who are blind, walking assistance robot which can detecting and avoiding the obstacle was investigated. The implemented prototype walking assistance robot consists of a obstacle detecting module, a user interface using acoustic signal and a driving module. The obstacle detecting module uses 6 ultrasonic sensors those located at the front part of the robot can perceive the obstacle which is in 3 meter distances and $180^{\circ}$ degrees. It calculates the distance and degree from the obstacle using TOF (time of flight) method and decides the 3-dimensional location of the obstacle. The obstacle information is delivered to the user using acoustic alarm and guide sound. The robot is designed to avoid by itself when the obstacle is detecting and the user only follows it to safe walking. After the designed robot was implemented, driving and obstacle detecting experiments were carried out. The result showed that the designed walking assistance robot will help the people who are blind to walk around safe.

Mobility Determination of Thin Film a-Si:H and poly-Si

  • Jung, S.M.;Choi, Y.S.;Yi, J.S.
    • Journal of Sensor Science and Technology
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    • v.6 no.6
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    • pp.483-490
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    • 1997
  • Thin film Si has been used in sensors, radiation detectors, and solar cells. The carrier mobility of thin film Si influences the device behavior through its frequency response or time response. Since poly-Si shows the higher mobility value, a-Si:H films on Mo substrate were subjected to various crystallization treatments. Consequently, we need to find an appropriate method in mobility measurement before and after the anneal treatment. This paper investigates the carrier mobility improvement with anneal treatments and summarizes the mobility measurement methods of the a-Si:H and poly-Si film. Various techniques were investigated for the mobility determination such as Hall mobility, HS, TOF, SCLC, TFT, and TCO method. We learned that TFT and TCO method are suitable for the mobility determination of a-Si:H and poly-Si film. The measured mobility was improved by $2{\sim}3$ orders after high temperature anneal above $700^{\circ}C$ and grain boundary passivation using an RF plasma rehydrogenation.

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Residual Neuromuscular Sensing Platform Development using Sensor of Nerve Stimulation Response Measurement during Anesthesia (신경자극반응 측정 센서를 이용한 마취 시 잔여근이완 감지 플랫폼 구현)

  • Shin, Hyo-Seob;Kim, Young-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.459-462
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    • 2010
  • Response to nerve stimulation platform for implementing measures to detect finger movement has been functioning as an important factor. This stimulated finger on the nerve and muscle responses would vary. In other words, the finger movement of the muscle response to nerve stimulation and sensing Actuator for the H/W development is needed. In addition, a low power embedded CPU based on the top was used. H/W configuration portion of the isolation power, constant current control, High impedance INA, amplifier parts, and the stimulus mode and the Micro-control the status of current, AD converter Low Data obtained through the processing system is implemented.

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Application of Lamb Waves and Probabilistic Neural Networks for Health Monitoring of Joint Steel Structures (강 구조물 접합부의 건전성 감시를 위한 램 웨이브와 확률 신경망의 적용)

  • Park, Seung-Hee;Lee, Jong-Jae;Yun, Chung-Bang;Roh, Yongrae
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.15 no.1 s.94
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    • pp.53-62
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    • 2005
  • This study presents the NDE (non-destructive evaluation) technique for detecting the loosened bolts on joint steel structures on the basis of TOF (time of flight) and amplitudes of Lamb waves. Probabilistic neural network (PNN) technique which is an effective tool for pattern classification problem was applied to the damage estimation using PZT induced Lamb waves. Two kinds of damages were introduced by dominant damages (DD) which mean loosened bolts within the Lamb waves beam width and minor damages (MD) which mean loosened bolts out of the Lamb waves beam width. They were investigated for the establishment of the optimal decision boundaries which divide each damage class's region including the intact class. In this study, the applicability of the probabilistic neural networks was identified through the test results for the damage cases within and out of wave beam path. It has been found that the present methods are very efficient and reasonable in predicting the loosened bolts on the joint steel structures probabilistically.

Pillar and Vehicle Classification using Ultrasonic Sensors and Statistical Regression Method (통계적 회귀 기법을 활용한 초음파 센서 기반의 기둥 및 차량 분류 알고리즘)

  • Lee, Chung-Su;Park, Eun-Soo;Lee, Jong-Hwan;Kim, Jong-Hee;Kim, Hakil
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.4
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    • pp.428-436
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    • 2014
  • This paper proposes a statistical regression method for classifying pillars and vehicles in parking area using a single ultrasonic sensor. There are three types of information provided by the ultrasonic sensor: TOF, the peak and the width of a pulse, from which 67 different features are extracted through segmentation and data preprocessing. The classification using the multiple SVM and the multinomial logistic regression are applied to the set of extracted features, and has achieved the accuracy of 85% and 89.67%, respectively, over a set of real-world data. The experimental result proves that the proposed feature extraction and classification scheme is applicable to the object classification using an ultrasonic sensor.

Application of Lamb Waves and Probabilistic Neural Networks for Health Monitoring of Joint Steel Structures (강 구조물 접합부의 건전성 감시를 위한 램 웨이브와 확률 신경망의 적용)

  • Park, Seung-Hee;Lee, Jong-Jae;Yun, Chung-Bang;Roh, Yong-Rae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.625-632
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    • 2004
  • This study presents the NDE (non-destructive evaluation) technique for detecting the loosened bolts on joint steel structures on the basis of TOF (time of flight) and amplitudes of Lamb waves. Probabilistic neural network (PNN) technique which is an effective tool for pattern classification problem was applied to the damage estimation using PZT induced Lamb waves. Two kinds of damages were introduced by dominant damages (DD) which mean loosened bolts within the Lamb waves beam width and minor damages (MD) which mean loosened bolts out of the Lamb waves beam width. They were investigated for the establishment of the optimal decision boundaries which divide each damage class's region including the intact class. In this study, the applicability of the probabilistic neural networks was identified through the test results for the damage cases within and out of wave beam path. It has been found that the present methods are very efficient and reasonable in predicting the loosened bolts on the joint steel structures probabilistically.

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Multi-view Generation using High Resolution Stereoscopic Cameras and a Low Resolution Time-of-Flight Camera (고해상도 스테레오 카메라와 저해상도 깊이 카메라를 이용한 다시점 영상 생성)

  • Lee, Cheon;Song, Hyok;Choi, Byeong-Ho;Ho, Yo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.4A
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    • pp.239-249
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    • 2012
  • Recently, the virtual view generation method using depth data is employed to support the advanced stereoscopic and auto-stereoscopic displays. Although depth data is invisible to user at 3D video rendering, its accuracy is very important since it determines the quality of generated virtual view image. Many works are related to such depth enhancement exploiting a time-of-flight (TOF) camera. In this paper, we propose a fast 3D scene capturing system using one TOF camera at center and two high-resolution cameras at both sides. Since we need two depth data for both color cameras, we obtain two views' depth data from the center using the 3D warping technique. Holes in warped depth maps are filled by referring to the surrounded background depth values. In order to reduce mismatches of object boundaries between the depth and color images, we used the joint bilateral filter on the warped depth data. Finally, using two color images and depth maps, we generated 10 additional intermediate images. To realize fast capturing system, we implemented the proposed system using multi-threading technique. Experimental results show that the proposed capturing system captured two viewpoints' color and depth videos in real-time and generated 10 additional views at 7 fps.