• Journal of the Korea Computer Industry Society
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• v.7 no.5
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• pp.455-466
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• 2006

In this paper, 3D objects is created from the real scene that is used by an active sensor, which gets depth and RGB information. To get the depth information, this paper uses the $Zcam^{TM}$ camera which has built-in an active sensor module. <중략> Thirdly, calibrate the detailed parameters and create 3D mesh model from the depth information, then connect the neighborhood points for the perfect 3D mesh model. Finally, the value of color image data is applied to the mesh model, then carries out mapping processing to create 3D object. Experimentally, it has shown that creating 3D objects using the data from the camera with active sensors is possible. Also, this method is easier and more useful than the using 3D range scanner.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1791-1792
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• 2006

이 논문에서는 저속 회전체의 불균일 질량측정을 위한 새로운 신호처리 방법을 제안하고 이를 이용한 자동차 타이어의 보정(balancing) 방법에 관해 설명한다. 타이어를 포함한 시스템의 동력학 모델을 기반으로 타이어의 불균일 질량에 의해 발생되는 진동과 이로 인해 로드셀에 작용하는 힘의 관계식을 유도하고, 센서의 측정계수(scale factor)를 포함한 매개변수를 실험 데이터로부터 계산한다. 또한, 기존 방법과 달리 불균일 질량의 크기와 위치를 정확하고 효율적으로 측정할 수 있는 방법을 소형 마이크로 프로세서를 이용하여 구현하고 실험을 통해 그 성능을 검증한다.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.15-21
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• 2019

X-rays with shorter wavelengths than ultraviolet light have very good penetration power. It is convergence in industrial and medical fields has been used a lot. n particular, in the industrial field, various researches have been conducted on the detection of foregin body inside metal that can occur in the production process of products such as metal using x-ray, a non-destructive inspection device. Detectors are becoming increasingly popular for the popularization of DR (Digital Radiography) photography methods that digitally acquire X-ray video images. However, there are cases where foreign body detection is impossible depending on the sensor noise and sensitivity inside the detector. When producing a metal product, since the defective rate of the produced product may increase due to contamination of the foreign body, accurate detection is necessary. In this paper, we provide a correction model for X-ray images acquired in order to improve the efficiency of defect detection such as foreign body inside metal. When applied to defect detection in the production process of metal products through the proposed model, it is expected that the detection of product defects can be processed accurately and quickly.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.27-33
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• 2009

With the upcoming u-healthcare era, a way of measurement for vital sign monitoring of cardiac patients is changing as well. In existing measurement of cardiac patients, various wire in ECG measuring equipment has caused much discomfort and inconvenience. In order to decrease the problem, we are developing an efficient measurement of ECG signal using Wireless sensor network. In this paper, we present a way to reduce amount of data by transmitting ECG data collected from radio electrocardiogram sensor based on Zigbee after calculating cardiac rate. And in order to control the error which can be caused by the different ECG signal intensity each individual can has, we also suggest an adaptive pulse measurement model which can measure heart rate with correcting according to different ECG intensity. To verify the suggested model, sensor application was developed and the data was acquired in TinyOS 2.0 environment and the adaptive pulse measurement model was evaluated through the data from the experiments.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.40-40
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• 2021

수재해 방지를 위한 수문해석 모형에서 정량적인 강수자료의 역할은 매우 중요하다. 최근에는 기후변화로 인한 국지성 집중호우 등 돌발 강수의 빈도가 증가하고 있어 지상에 설치된 우량계보다 시·공간적 변동성을 반영할 수 있는 격자형 위성 강수자료의 활용성이 커지고 있다. 하지만 위성강수자료는 관측 시에 대기의 상태 또는 위성별 관측 센서, 공간적 스케일 차이 등에 의해 실제 내린 강수와의 편의가 존재한다. 이를 해결하기 위해 지점 강수자료를 이용한 통계적, 지형정보학적 상세화 기법이 적용되고 있으나, 대부분의 연구에서 강수자료의 양적 보정만을 목적으로 수행되었다. 본 연구에서는 머신러닝 기반의 랜덤포레스트(random forest) 모델을 사용하여 다중위성 강수자료(CHIRPSv2, CMORPH, GSMaP, TRMMv7)와 기상청에서 제공하는 AWS, ASOS 지점 강수를 사용하여 최적 위성강수자료를 생성 후 각 위성강수자료와 비교·분석하였다. 2003년에서 2017년까지의 각 위성강수자료를 수집하여 같은 공간 스케일로 전처리한 뒤 모델에 입력하였으며 AWS 강수자료는 훈련, ASOS 강수자료는 검증에 이용되었다. 그 결과, 생성된 최적 위성강수자료는 각 위성강수자료보다 지점강수와의 편의가 줄고 높은 상관관계를 나타내고 있다. 이는 앞으로 사용될 위성강수자료의 시·공간적 보정 및 단기예측에 활용할 수 있으며, 특히 원격탐사자료의 의존도가 높은 미계측 대유역 수문해석에 정량적인 강수자료를 제공할 수 있을 것으로 판단된다.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.17-23
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• 2019

In this paper, quality control (QC) is applied to each meteorological element of weather data collected from seven IoT sensors such as temperature. In addition, we propose a method for estimating the data regarded as error by means of machine learning. The collected meteorological data was linearly interpolated based on the basic QC results, and then machine learning-based QC was performed. Support vector regression, decision table, and multilayer perceptron were used as machine learning techniques. We confirmed that the mean absolute error (MAE) of the machine learning models through the basic QC is 21% lower than that of models without basic QC. In addition, when the support vector regression model was compared with other machine learning methods, it was found that the MAE is 24% lower than that of the multilayer neural network and 58% lower than that of the decision table on average.

• Korean Journal of Remote Sensing
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• v.24 no.6
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• pp.535-549
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• 2008

Vicarious calibration for the satellite sensor relies on simulated TOA (Top-of-Atmosphere) radiances over various targets. In this study, TOA visible radiance was calculated over ocean targets which are located in five different regions over the Indian and Pacific ocean, and its possible use for the satellite sensor calibration was examined. TOA radiances are simulated with the 6S radiative transfer model for the comparison with MODIS/Terra and SeaWiFS measurements. Geometric angles and sensor characteristics of the reference satellites were taken into account for the simulation. AOT (Aerosol Optical Thickness) from MODIS/Terra, pigment concentrations from Sea WiFS, and ozone amount from OMI measurements were used as inputs to the model. Other atmospheric input parameters such as surface wind and total column water vapor were taken from NCEP/NCAR reanalysis data. The 5-day averaged radiances over all targets show that the percent differences between simulated and observed radiances are within about ${\pm}5%$ in year 2005, indicating that the calculated radiances are in good agreement with satellite measurements. It has also been shown that the algorithm can produce the SeaWiFS radiances within about ${\pm}5%$ uncertainty range. It has been suggested that the algorithm can be used as a tool for calibrating the VIS bands within about 5% uncertainty range.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.4
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• pp.9-19
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• 2019

As light-weight embedded devices become widely used in the area of low-power networking and high-precision sensor data acquisition, support for time-critical applications becomes essential for the light-weight embedded devices. This paper addresses the accuracy issue of a software timer for small or tiny embedded devices equiped with light-weight MCUs(Micro controller units). We first explore the characteristics of overhead in a typical implementation of a software timer, and then measure the overhead through a realistic implementation. Using the measurement result, we propose an overhead compensation technique which reduces the overhead from the hardware timer-tick.

• Aerospace Engineering and Technology
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• v.7 no.2
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• pp.187-195
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• 2008

Generation of accurate ground coordinates from high resolution satellite image are becoming increasingly of interest. The primary focus of this paper is to compute satellite direct sensor model (DSM) and rational function model (RFM) for accurate generation of ground coordinates from high resolution satellite images. Being based on this we presented an algorithm to be able to efficiently ground coordinates about large area with introducing RFM(rational function model) method applied to rigorous sensor modeling standing on basis of satellite orbit dynamics and collinearity equation, and sensor modeling of high-resolution satellite data like IKONOS, QuickBird, KOMPSAT-2 and others. The general high resolution satellite measures the position, velocity and attitude data of satellite using star, gyro, and GPS sensors.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.6A
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• pp.481-487
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• 2005

In order to increase the autonomous navigation capability of a mobile robot, it is very crucial to develop a method for recognizing a priori known environmental characteristics. This paper proposes an ultrasonic sensor based real-time method for recognizing a priori known indoor environmental characteristics like a wall and corner. The ultrasonic sensor consists of an ultrasonic transmitter and two ultrasonic receivers placed symmetrically about the transmitter. Unlike previous methods the information obtained from the sensor is processed in real-time by extended Kalman filter to be able to correct the position and orientation of robot with respect to known environmental characteristics.