• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.14 no.2
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• pp.7-13
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• 2005

• Journal of the Korean Society for Precision Engineering
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• v.10 no.1
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• pp.22-27
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• 1993

산업기술의 발달에 따라 각 분야마다 정밀한 부품을 요구하고 있다. 이는 이들 부품이 시스템의 성능에 영향을 미치고 있기 때문이다. 부품의 정도는 길이정도와 표면의 정도를 모두 의미한다. 길이정도는 부품의 상대적 크기정도를, 표면정도는 3차원 형상정도를 나타낸다. 이들 부품의 정도를 평가하기 위해서는 반드시 측정이라는 방법이 수행되어야 하며, 측정은 요구되는 측정정도에 따라 이에 상용되는 방법으로 행해지게 된다. 요구되는 측정정도는 시간이 지남에 따라 점차 증가되고 있다. 이 러한 경향은 그림1의 시대에 따른 측정정도를 보면 확인할 수 있다. 시대에 따라 측정정도는 급격히 증가하고 있고 현재의 측정은 초정밀측정이라 말하는 약 0.1nm의 정밀도를 갖고 있다. 측정정도에 따라 표면측정기술도 여러가지 방법이 행해지고 있는데 이들 측정방법은 크게 접촉식 측정방법과 비접촉 측정 방법으로 나눌 수 있다. 대표적인 접촉식 측정방법으로는 촉침식 측정방법을 들 수 있다. 이 방법은 다이아몬드 촉침을 표면상에 접촉하여 주사이동하게 하고 이때 표면의 요철에 따른 촉침의 상하운동을 고성능 변위센서를 이용하여 표면형상을 측정하는 것이다. 이는1nm의 수직분해능을 갖고 측정이 가능 하다. 이 방법은 표면에 접촉함으로 인해 신뢰성이 높지만, 표면의 접촉압력으로 인해 표면의 손상 우려가 있다. 이런 이유로 현재 비접촉 측정방법이 주목받고 있다. 표면측정을 실현하는 데에는 광학 기술이 적극적으로 활용되고 있으며, 최근에는 물리학의 원리들이 도입되고 있다. 본 글에서는 이러한 측정기술의 기본원리를 소개하고 각 기술이 응용되는 예를 소개하고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.3
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• pp.171-177
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• 2011

The feasibility of using low cost, unpowered, unshielded dynamic microphones is investigated for cost effective contactless sensing of impact-echo signals in concrete structures. Impact-echo tests on a delaminated concrete slab specimen were conducted and the results were used to assess the damage detection capability of the low cost system. Results showed that the dynamic microphone successfully captured impact-echo signals with a contactless manner and the delaminations in concrete structures were clearly detected as good as expensive high-end air pressure sensor based non-contact impact-echo testing.

• Journal of IKEEE
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• v.20 no.4
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• pp.454-458
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• 2016

Generally, fix the end of the fabric to pin with the fabric tenter process. At this time, the pin fixing part of the fiber fabric bulges and deforms. The deformation of the textile causes deterioration of the quality of the textile product. Detection of fiber fabric selvage portion is always required in the processing of the fabric. This research is a non-contact sensor for sensing fiber selvage. In this study, Developed a non-contact fabric selvage detecting sensor for use in automatic selvage cutting system. For the production of the fabric selvage detecting sensor prototype it was produced by placing thirty two sensor 2.5 mm interval. The selvage sensor system experimentally confirmed that actual selvage detection is possible.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.639-646
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• 2016

In this study, the contactless measurement method with a optical displacement sensor(ODS, ADNS 9500) was proposed to overcome flaws in a rotary encoder based measurement under particular circumstances, such as a slippage and a case of little rotational inertia. The performance tests of the optical displacement sensor using data acquisition board and National Instruments's LabVIEW program were performed to accomplish accurate displacement measurements and the performance characteristics according to measurement direction, speed, acceleration, height and surface types were discovered through the repetitive tests. The experimental results indicate that, in order to get an accurate in-plane motion, the height(distance between the ODS and the target surface) has to be maintained at the range of 2.4 mm to 3.2 mm and the sensitivity(resolution) should be modified and applied to the formulae for displacement calculation, considering its measurement direction, speed and surface type.

• Journal of the Korean Society for Railway
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• v.20 no.4
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• pp.440-447
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• 2017

Spectrum level for the acoustic roughness of wheels and rail surface should be periodically maintained under the limitation of ISO to reduce rolling noise of railway vehicles. Thus, in maintaining railway track, displacement sensor-based measuring devices are broadly used to measure the surface roughness and to perform spectral analysis. However, these measuring devices cause unexpected measuring errors since the displacement sensors are fixed at moving platforms and the main frame produces pitching motion during measurement. To increase the accuracy of the measured values, this paper has investigated the effects of design variables such as wheel base, additional wheels, and elastic deformation of wheels on the surface roughness and acoustic roughness spectrum.

• Proceedings of the Korean Magnestics Society Conference
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• 2005.12a
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• pp.44-45
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• 2005

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1393-1394
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• 2015

본 논문은 비접촉식 센서를 통한 심전도 신호를 이용하여 운전자의 졸음을 검출하는 시스템을 제안한다. 이를 위해 비접촉식으로 얻은 심전도 신호에 적합한 특성들을 추출하였으며 t-test를 이용하여 검출 시스템에서 사용할 특성을 선택하였다. 그 후 추출된 특성으로 구성된 데이터를 support vector machine을 활용하여 학습함으로써 졸음 검출 시스템을 구축하였다. 10명의 실험자를 대상으로 한 실험 결과, 각 실험자에 대해서는 평균 91.25 %, 모든 실험자를 대상으로 한 실험에서는 81.29 %의 정확도로 졸음을 검출하는 것이 가능하였다.

• Journal of Sensor Science and Technology
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• v.3 no.1
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• pp.32-39
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• 1994

Catalytic combustion type sensor was fabricated for alcohol detection, and its characteristics were tested. When the resistance of Pt coil for pellistor is 2.0 ohm, suggestible input power to bridge circuit was about 300 mW for methanol detection, and in the range from 350 mW to 400 mW for ethanol. Pellistors were prepared by means of impregnating Pt or Pd on the ${\gamma}$-alumina bead for sensing element, and transition metals such as $Co_{3}O_{4}$, $Fe_{2}O_{3}$ for compensating element.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.5
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• pp.113-121
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• 2013

The road icing forecast and snow detection system using state evaluation algorithm of multi sensor optimizes snow melting system to control spread time and amount of chemical spread application This system operates integrated of contact/non-contact sensor and infrared camera. The state evaluation algorithm of the system evaluates road freezing danger condition and snowfall condition (snowfall intensity also) using acquired data such as temperature/humidity, moisture detection and result of image signal processing from field video footage. In the field experiment, it proved excellent and reliable evaluated result of snowfall state detection rate of 89% and wet state detection rate of 94%.