• 한국복합재료학회:학술대회논문집
• /
• 한국복합재료학회 2004년도 춘계학술발표대회 논문집
• /
• pp.143-146
• /
• 2004

Fiber reinforced plastic material should be inspected in fabrication process in order to enhance quality by prevent defects such as delamination and void. Generally, ultrasonic technique is widely used to evaluate FRP. In conventional ultrasonic techniques, transducer should be contacted on FRP. However, conventional contacting method could not be applied in fabrication process and novel non-contact evaluating technique was required. Laser-based ultrasonic technique was tried to evaluate FRP plate. Laser-based ultrasonic waves propagated on CFRP were received with various transducers such as accelerometer and AE sensor in order to evaluated the properties of waves due to the variation of frequency. Velocities of laser-based ultrasonic waves were evaluated for various fiber orientation.

• 한국군사과학기술학회지
• /
• 제22권3호
• /
• pp.401-407
• /
• 2019

In this paper, the position estimation considering wheel slip of mecanum wheeled mobile robots is discussed. Since the mecanum wheeled mobile robot does not need a space to rotate, it is very suitable in narrow industrial fields. However, the slip caused by the roller attached to the wheel makes it difficult to estimate the position precisely. Due to these limitations, mecanum wheels are rarely applied to unmanned mobile robots in automation factories. In this paper, a method to compensate the orientation and distance error caused by the slip is proposed. The exact orientation is measured by fusing gyro and magnetometer sensor data with application of Kalman filter. In addition, the kinematic model accounting slip effects will be defined to compensate the distance error.

• 로봇학회논문지
• /
• 제15권1호
• /
• pp.16-23
• /
• 2020

This paper describes an alignment algorithm that estimates the initial heading angle of AUVs (Autonomous Underwater Vehicle) for starting navigation in a sea area. In the basic dead reckoning system, the initial orientation of the vehicle is very important. In particular, the initial heading value is an essential factor in determining the performance of the entire navigation system. However, the heading angle of AUVs cannot be measured accurately because the DCS (Digital Compass) corrupted by surrounding magnetic field in pointing true north direction of the absolute global coordinate system (not the same to magnetic north direction). Therefore, we constructed an experimental constraint and designed an algorithm based on extended Kalman filter using only inertial navigation sensors and a GPS (Global Positioning System) receiver basically. The value of sensor covariance was selected by comparing the navigation results with the reference data. The proposed filter estimates the initial heading angle of AUVs for navigation in a sea area and reflects sampling characteristics of each sensor. Finally, we verify the performance of the filter through experiments.

• Journal of Advanced Marine Engineering and Technology
• /
• 제38권5호
• /
• pp.566-572
• /
• 2014

Recently, indoor navigation has been applied in large convention centers by using wireless sensor networks (WSNs), which provide not only a user's path to be traveled but also orientation and shopping information to increase user's convenience. This paper presents the localization system for estimating relative coordinates without pre-deployment of the reference node based on ultra wide band (UWB) ranging system, which is relatively suitable for indoor localization compared to other wireless communications, and azimuth sensor. The proposed localization system which consists of an azimuth sensor and a mobile node composed of three nodes estimates relative coordinates of the reference node without applying any recursive and time consumption algorithms. Also, in the process of estimating relative coordinates of the reference node, ranging errors are minimized through the proposed technique and the number of nodes can be reduced. Experimental results show the feasibility and validity of the proposed system.

• 태양에너지
• /
• 제19권4호
• /
• pp.81-91
• /
• 1999

The work presented here is a design and development of sun tracking system for the parabolic dish concentrator. Parabolic dish concentrator is mounted on azimuth and elevation tracking mechanism, and controlled to track the sun with computed and measured sun positions. Sun tracking mechanism is composed of 1/30000 speed reducer(3 stages) and 400W AC servomotor for each axis. The nominal tracking speed of each axis is ${\pm}0.6^{\circ}/sec$ and the system has a driving range of $340^{\circ}$ in azimuth and of $135^{\circ}$ in elevation. Sun tracking control system consists of sun sensor, wind speed and direction measurement system, AC servomotor position control system and personal computer as a master controller. Sun sensor detects the sun located within ${\pm}50^{\circ}$ measured from the sun sensor normal direction. Computer computes the sun position, sunrise and sunset times and controls the orientation of parabolic dish concentrator through the AC servomotor position control system. It also makes a decision of whether the system should follow the sun or not based on the information collected from sun sensor and wind speed and direction measurement system. The sun tracking system developed in this work is implemented for the experimental work and shows a good sun tracking performance.

• 한국지리정보학회지
• /
• 제8권1호
• /
• pp.88-95
• /
• 2005

다중센서 결합에 의한 외부표정요소 결정기법은 항공기에 탑재한 GPS와 INS로 센서의 위치와 회전각을 정확히 결정함으로써 외부표정요소 결정을 위한 지상기준점 측량을 생략하거나 또는 최소한의 기준점만을 사용하여 외부표정요소를 결정할 수 있으며, 이에 따라 지형도 제작에 대한 시간과 경비를 크게 절감할 수 있다. 따라서 본 연구에서는 다중센서 결합과 동시에 CCD 카메라를 탑재하여 동시에 측량을 하고, 외부표정요소 직접결정 기법에 의한 CCD 영상으로 수치정사영상을 제작하였다. 본 연구에서 제작된 결과물에 대한 정확도 검증을 위하여 GPS로 측량한 지상검사점을 기본으로 하여 외부표정요소 직접결정 기법에 의하여 제작된 수치정사영상의 위치 정확도를 평가하였다. 수치정사영상은 소수의 기준점을 사용한 경우와 기준점을 사용하지 않은 경우의 두 가지로 제작하였다. 다중센서에 의한 제작된 수치정사영상의 정확도는 소수의 기준점을 사용한 경우, 축척 1:1,000 지도의 정확도 기준을 만족시켰으며, 기준점이 없이 제작된 정사영상의 정확도는 축척 1:5,000 지도의 정확도 기준을 만족함을 알 수 있었다.

• 한국컴퓨터정보학회논문지
• /
• 제17권6호
• /
• pp.37-48
• /
• 2012

영상정합은 동일한 장면에 대해서 서로 다른 시점, 서로 다른 시간 혹은 서로 다른 특성의 센서로부터 얻은 영상들의 위치 관계를 대응 시켜주는 기법이다. 본 논문에서는 가시광선 영상 및 적외선 영상과 같은 다중센서 영상을 정합하기 위한 방법을 제안한다. 영상정합은 두 영상에서 특징점을 추출하고, 특징점 간의 대응 관계를 구함으로써 이루어진다. 기존의 다중센서 영상 정합을 위한 방법으로 정규상호정보를 이용하여 대응 특징점을 선별하는 방법이 제안되었다. 정규상호정보 기반의 영상정합 기법은 두 영상의 통계적 상관성이 전역적이어야 한다는 가정을 전제한다. 그러나 가시광선 영상과 적외선 영상에서는 이를 보장하지 못하는 경우가 많아 대응 특징점의 정확도가 저하되기 때문에 기존의 방법은 안정적인 정합 성능을 기대하기 힘들다. 본 논문에서는 영상의 공간정보로서 기울기 방향정보를 정규상호정보와 결합함으로써, 대응 특징점의 정확도를 향상시켰으며 이를 통해 정확성 및 안정적인 영상 정합 결과를 도모하였다. 다양한 실험 결과를 통해 제안하는 방법의 효용성을 증명하였다.

• Tribology and Lubricants
• /
• 제33권3호
• /
• pp.106-111
• /
• 2017

Sapphire is an anisotropic material with excellent physical and chemical properties and is used as a substrate material in various fields such as LED (light emitting diode), power semiconductor, superconductor, sensor, and optical devices. Sapphire is processed into the final substrate through multi-wire saw, double-side lapping, heat treatment, diamond mechanical polishing, and chemical mechanical polishing. Among these, chemical mechanical polishing is the key process that determines the final surface quality of the substrate. Recent studies have reported that the material removal characteristics during chemical mechanical polishing changes according to the crystal orientations, however, detailed analysis of this phenomenon has not reported. In this work, we carried out chemical mechanical polishing of C(0001), R($1{\bar{1}}02$), and A($11{\bar{2}}0$) substrates with different sapphire crystal planes, and analyzed the effect of crystal orientation on the material removal characteristics and their correlations. We measured the material removal rate and frictional force to determine the material removal phenomenon, and performed nano-indentation to evaluate the material characteristics before and after the reaction. Our findings show that the material removal rate and frictional force depend on the crystal orientation, and the chemical reaction between the sapphire substrate and the slurry accelerates the material removal rate during chemical mechanical polishing.

• 대한원격탐사학회지
• /
• 제24권3호
• /
• pp.223-233
• /
• 2008

In the mid 90's, the U.S. government released images acquired by the first generation of photo reconnaissance satellite missions between 1960 and 1972. The Declassified Intelligent Satellite Photographs (DISP) from the Corona mission are of high quality with an astounding ground resolution of about 2 m. The KH-4A panoramic camera system employed a scan angle of $70^{\circ}$ that produces film strips with a dimension of $55\;mm\;{\times}\;757\;mm$. Since GPS/INS did not exist at the time of data acquisition, the exterior orientation must be established in the traditional way by using control information and the interior orientation of the camera. Detailed information about the camera is not available, however. For reconstructing points in object space from DISP imagery to an accuracy that is comparable to high resolution (a few meters), a precise camera model is essential. This paper is concerned with the derivation of a rigorous mathematical model for the KH-4A/B panoramic camera. The proposed model is compared with generic sensor models, such as affine transformation and rational functions. The paper concludes with experimental results concerning the precision of reconstructed points in object space. The rigorous mathematical panoramic camera model for the KH-4A camera system is based on extended collinearity equations assuming that the satellite trajectory during one scan is smooth and the attitude remains unchanged. As a result, the collinearity equations express the perspective center as a function of the scan time. With the known satellite velocity this will translate into a shift along-track. Therefore, the exterior orientation contains seven parameters to be estimated. The reconstruction of object points can now be performed with the exterior orientation parameters, either by intersecting bundle rays with a known surface or by using the stereoscopic KH-4A arrangement with fore and aft cameras mounted an angle of $30^{\circ}$.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
• /
• pp.263-266
• /
• 2000

We proposes a new fingerprint minutia matching algorithm which matches the fingerprint minutiae by using adaptive distance. In general, fingerprint is deformed by pressure and orientation when a user press his fingerprint to sensor. These nonlinear deformations change the distance between minutiae and reduce verification rate. We define the adaptive distance using ridge frequency. Adaptive distance normalizes the distance between minutiae and compensates for nonlinear deformation. Our algorithm can distinguish two different fingerprints better and is more robust. Experimental results show that the performance of the proposed algorithm is superior to using Euclidean distance.