• Proceedings of the Optical Society of Korea Conference
• /
• 2002.07a
• /
• pp.208-209
• /
• 2002

지금까지의 광학적 비접촉 진동 측정 시스템에서는 레이저도플러 효과를 이용하고 있다(1)(2). 그러나 이는 시스템 자체가 너무 크고 많은 장비들을 요구하는 단점을 가지고 있다. 본 실험은 장비의 속도와 크기를 개선하기 위해 이전까지의 방법과는 다른 시스템을 구성하여, 빠르게 회전하거나 진동하는 물체의 진동을 쉽고 간결하게 측정할 수 있는 장비와 프로그램을 설계, 제작하였다. 광원으로는 파장이 650nm인 LD(laser diode)를 사용하였고, 신호검출에는 1차원 PSD(position-sensitive detection)를 사용하여 시스템을 소형으로 구성하였다. (중략)

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.6 no.8
• /
• pp.1374-1380
• /
• 2002

Recently, the use of Robot increase little by little for the purpose of developing a welding quality and productivity in the welding part. It is more important to contact the seam for arc welding before moving a welding robot. There are two types of method to contact the seam namely contact and non-contact type largely. In this paper, image processing sensor(a kind of non-contact sensor) is concerned to track the seam by using laser diode and CCD camera. A structured laser diode's light illuminated on the weld groove and the reflected shape is introduced by CCD camera. The image board captures this image and software analyzes this image. The robot is moved and welded exactly as acquired image X-Y data is changed with robot's X-Y value. Also, most of seam tracking are considered by changing the program simply in case of the different weld groove of plane surface.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2001.05a
• /
• pp.460-464
• /
• 2001

Recently, the use of Robot increase little by little for the purpose of developing a welding quality and productivity in the arc welding part. It is more important to contact the seam for arc welding before moving a welding robot. There are two types of method to contact the seam namely contact and noncontact type largely In this paper, image processing sensor(a kind of non-contact sensor) is concerned to track the seam by using laser diode and CCD camera. A structured laser diode's light illuminated on the weld groove and the reflected shape is introduced by CCD camera. The image board captures this image and software analyzes this image. The robot is moved and welded exactly as acquired image X-Y data is changed with robot's X-Y value. Also, most of seam tracking are considered by changing the program simply in case of the different weld prove of plane surface.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.4
• /
• pp.1-6
• /
• 2012

We suggested a microwave sensor structure and fabricated experimentally to detect particular particles in the air which are difficult to detect using conventional UWB sensors because their reaction frequencies to electromagnetic waves are too high. In the experiment to detect water particles in the air with up-conversion frequency of 10GHz, we verified detect signal amplitude variation of 75% depending on presence or absence of water particles. The suggested structure can be useful to detect particular materials at the high frequencies more than a few 10th GHz, because the same method can be applied to detect other materials.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.35 no.3
• /
• pp.215-220
• /
• 2015

As a nondestructive inspection technology currently in use, infrared thermography has gradually expanded its application range to industry. The method detects only defect areas by grafting ultrasound on a technique of detecting infrared energy emitted from all objects with absolute temperature of 0 K and converting this energy into thermography for inspection. Ultrasound infrared thermography has merits including the ability to inspect a wide area in a short time without contacting the target object. This study investigated the applicability of the technique for defect detection using variable ultrasound excitation inspection methods on samples of Terfenol-D, a magnetostrictive material with a tunable natural resonant frequency.

• Science of Emotion and Sensibility
• /
• v.21 no.4
• /
• pp.63-76
• /
• 2018

The purpose of this study was to investigate the effect of contact type textile electrode structure on heart activity signal acquisition for smart healthcare. In this study, we devised six contact type textile electrodes whose electrode size and configuration were manipulated for measuring heart activity signals using computerized embroidery. We detected heart activity signals using a modified lead II and by attaching each textile electrode to the chest band in four healthy male subjects in a standing static posture. We measured the signals four times repeatedly for all types of electrodes. The heart activity signals were sampled at 1 kHz using a BIOPAC ECG100, and the detected original signals were filtered through a band-pass filter. To compare the performance of heart activity signal acquisition among the different structures of the textile electrodes, we conducted a qualitative analysis using signal waveform and size as parameters. In addition, we performed a quantitative analysis by calculating signal power ratio (SPR) of the heart activity signals obtained through each electrode. We analyzed differences in the performance of heart activity signal acquisition of the six electrodes by performing difference and post-hoc tests using nonparametric statistic methods on the calculated SPR. The results showed a significant difference both in terms of qualitative and quantitative aspects of heart activity signals among the tested contact type textile electrodes. Regarding the configurations of the contact type textile electrodes, the three-dimensionally inflated electrode (3DIE) was found to obtain better quality signals than the flat electrode. However, regarding the electrode size, no significant difference was found in performance of heart signal acquisition for the three electrode sizes. These results suggest that the configuration method (flat/3DIE), which is one of the two requirements of a contact type textile electrode structure for heart activity signal acquisition, has a critical effect on the performance of heart activity signal acquisition for wearable healthcare. Based on the results of this study, we plan to develop a smart clothing technology that can monitor high-quality heart activity without time and space constraints by implementing a clothing platform integrated with the textile electrode and developing a performance improvement plan.

• Convergence Security Journal
• /
• v.8 no.4
• /
• pp.127-134
• /
• 2008

In this paper, we try to improve the accuracy of automatic measurement for analysis equipment by detecting efficiently the edge of a waterdrop with transparency. In order to detect the edge of a waterdrop with transparency, we use an edge detecting technique, MADD (Modified Adaptive Directional Derivative), which can identify the ramp edges with various widths as the perfectly sharp edges and respond effectively regardless of enlarging or reducing the image. The proposed edge detecting technique by means of perfect sharpening of ramp edges employs the modified adaptive directional derivatives instead of the usual local differential operators in order to detect the edges of image. The modified adaptive directional derivatives are defined by introducing the perfect sharpening map into the adaptive directional derivatives. Finally we apply the proposed method to contact angle arithmetic and show the effiency and validity of the proposed method.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.151-157
• /
• 2019

Recently, monitoring respiration of people has been of interest using non-invasive method. Among the vital signals usually used for indicating health status, non-invasive and portable device based monitoring respiratory status is practically useful and enable one to promptly deal with abnormal physical status. This paper proposes the approach to real-time detection of apnea signal based on Short-Time-Fourier-Transform(STFT). Contrary to the analysis of a signal in frequency domain using Fast-Fourier Transform, this paper employs Short-time-Fourier-Transform so that frequency response can be analyzed in short time interval. The respiratory signal is acquired using UWB radar sensor that enables one to obtain respiration signal in contactless way. Detection of respiratory status is carried out by analyzing frequency response, and classification of respiratory status can be provided. In particular, STFT is employed to analyze respiratory signal in real-time, leading to effective analysis of the respiratory status in practice. In the case of existence of noise in the signal, appropriate filtering process is employed as well. The proposed method is straightforward and is workable in practice to analyze the respiratory status of people. To evaluate the proposed method, experimental results are provided.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2007.04a
• /
• pp.448-452
• /
• 2007

본 논문은 선박의 축계마력 측정방법 및 측정시스템의 개발방법에 대해 논의한다. 엔진 축계에서의 정확한 출력은 선박의 사용목적, 관련추진축계의 제작 및 설치비용 등과 밀접한 관련을 맺고 있다. 본 연구에서는 동력 전달측과 부하측사이의 축상에 두 개의 기어휠을 설치하고 각각의 기어휠에 비접촉식 검출기를 부착하여 위상을 계측한다. 동력이 가해질 경우 두 지점에서는 비틀림 각에 의한 위상차가 발생하게 되고, 발생된 위상차를 전압신호로 검출하여 축에서의 마력을 계산하게 된다.

• 한국정보통신설비학회:학술대회논문집
• /
• 2007.08a
• /
• pp.231-234
• /
• 2007

와전류를 이용한 전위강하법은 시험체에 와전류를 비 접촉식으로 발생 시킬 수 있어 기존의 방식에 비해 결함 검출시 발생하는 오차를 줄일 수 있고 물체의 결함 검출신호의 신뢰성을 향상 시킬 수 있다. 본 논문에서는 와전류를 이용한 전위강하법의 전자기 유한요소해석을 수행하였다. 3차원 유한요소해석과정에서 해석시간을 단축시키기 위해 각 영역별로 MVP, ESP, RMSP, TMSP의 미지수 변수를 부여하여 유한요소해석을 수행하였다. 기존의 전위강하법에 와전류의 개념을 적용하기 위해서 주파수에 대한 결함 깊이의 영향과 결함에 대한 주파수에 대한 영향을 검토해본 결과 결함의 깊이가 깊어질수록 또한 높은 주파수에서 신호의 크기가 선형적으로 증가하는 패턴을 보였다. 연구결과 와전류를 이용하여 ACPD법을 시행할 경우 데이터 처리 과정과 실험 장비를 단순화 시킬 수 있어 결함 검사를 손쉽게 할 수 있을 것이라 예상된다.