• Bulletin of the Korean Space Science Society
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• 2010.04a
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• pp.28.1-28.1
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• 2010

이 연구에서는 기존 선형 상대운동방정식에 차등중력, 주위성의 이심율, J2 섭동 등의 비선형항을 추가하여 보다 정확한 상대운동방정식을 만든 후 섭동이론을 적용하여 위성편대 연료최적화 재배치 문제에 대한 근사 해석해를 구하고자 한다. 먼저, 비선형 섭동항을 테일러 급수를 이용하여 2차항까지 전개한 후, 이를 기존 선형상대운동방정식에 추가하여 새로운 비선형 상대운동방정식을 만든다. 이 때 사용된 선형상대운동방정식은 힐스 방정식으로 주위성의 궤도가 일반적인 타원이고 위성 간 상대거리가 충분히 가깝다고 가정한다. 최적화 조건으로부터 상태벡터와 라그랑지 곱수로 이루어진 연립 미분방정식이 만들어 지는데, 이 식은 힐스 방정식에 기인한 선형부분과 2차 비선형항에 기인한 섭동부분으로 나뉜다. 이 때, 이 연립미분방정식의 해는 선형부분의 해와 섭동으로 인한 변화량의 합으로 근사할 수 있으며 그 변화량은 섭동이론을 적용하여 얻을 수 있다. 이와 같이 얻어진 해는 여러 섭동의 비선형항을 2차까지 포함한 상대운동방정식을 사용했기 때문에, 기존 선형상대운동방정식을 사용하여 구한 최적해 보다 더 정확한 결과를 얻을 것이라 예상한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.260-263
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• 2016

최근 스마트폰을 이용한 사용자의 운동량 계산 어플리케이션이 많이 출시되고 있다. 이러한 어플리케이션은 스마트폰의 GPS, 가속도 등의 내장 센서들을 이용하여 사용자의 행위를 분석하고, 분석된 내용을 토대로 운동량을 단순 계산해 주는 것들이 많다. 이러한 단순 계산은 사용자의 행동을 지정된 행동으로 인식하여 계산하기 때문에 복잡한 운동을 할 경우 어플리케이션에서 측정하는 칼로리 소모량과 실제 칼로리 소모량 계산과 비교해보면 오차가 많이 나는 경우가 많다. 이러한 오차를 줄이고자 신발에 압전센서와 블루투스 통신을 포함한 모듈을 삽입하여 사용자의 이동거리와 발걸음 수를 정확히 측정하여 사용자의 운동을 인식하고, 측정된 데이터를 이용하여 운동이 끝난 뒤 발걸음수와 이동거리를 이용하여 사용자의 소모된 칼로리를 정확하게 측정할 수 있는 방법을 제시하였다.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.1
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• pp.15-16
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• 1997

공작기계의 기본은 POSITION ACCURACY이다. XYZ 3축 직선운동 복합으로 거의 모든 형태를 표현할 수 있다. 3축 각각의 직선운동만 정확하면 정밀한 절삭가공이 된다는 뜻이다. 직선운동의 정확도를 기하기 위하여 볼스크류 를 쓰고 기아도 그라인딩을 한다. POSITION ACCURACY는 NC-CONTROLLER를 사용하면서 극대로 증가한다. 이것이 공작기계의 원리이다. 항공기의 조립은 공작기계가 갖고 있는 X Y Z 3축의 복합만으로는 STROKE가 짧아 표현할 수 없는 상당히 긴 STROKE이면서 공간의 위치가 요구된다. 이를 찾는 방법은 지극히 정밀한 LENS를 동원한 OPTICAL TOOL을 쓰는 것이 가장 용이하다. 항곡부품의 위치도 OPTICAL TOOL을 사용하는 것이 가장 용이하다. 물론 건축용 OPTICAL TOOL보다 항공용은 몇배 더 정밀하다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.43-50
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• 2021

In this paper, we design and implement KITNESS, a windows application that feeds back the accuracy of fitness motions based on Kinect sensors. The feature of this application is to use Kinect's camera and joint recognition sensor to give feedback to the user to exercise in the correct fitness position. At this time, the distance between the user and the Kinect is measured using Kinect's IR Emitter and IR Depth Sensor, and the joint, which is the user's joint position, and the Skeleton data of each joint are measured. Using this data, a certain distance is calculated for each joint position and posture of the user, and the accuracy of the posture is determined. And it is implemented so that users can check their posture through Kinect's RGB camera. That is, if the user's posture is correct, the skeleton information is displayed as a green line, and if it is not correct, the inaccurate part is displayed as a red line to inform intuitively. Through this application, the user receives feedback on the accuracy of the exercise position, so he can exercise himself in the correct position. This application classifies the exercise area into three areas: neck, waist, and leg, and increases the recognition rate of Kinect by excluding positions that Kinect does not recognize due to overlapping joints in the position of each exercise area. And at the end of the application, the last exercise is shown as an image for 5 seconds to inspire a sense of accomplishment and to continuously exercise.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.53-59
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• 2021

In this paper, we propose a system that can perform dumbbell exercise by recognizing the weight of dumbbells without wearing and device. With the development of virtual reality technnology, many studies are being conducted to simulate the pysical feedback of the real world in the virtual world. Accurate motion recognition is important to the elderly for rehabilitation exercises. They cannot lift heavy dumbbells. For rehabilitation exercise, correct body movement according to an appropriate weight must be performed. We use a machine learning algorithm for the accuracy of motion data input in real time. As an experiment, we was test three types of bicep, double, shoulder exercise and verified accuracy of exercise. In addition, we made a virtual gym game to actually apply these exercise in virtual reality.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.83-84
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• 2013

최근 다양한 시스템의 상태를 추정하는데 시스템의 운동 특성을 모델링하는 기법이 많이 연구되고 있다. 이 기법은 시스템의 운동 특성을 수학적으로 모델링하는 것으로 모델링의 정확도에 따라 시스템의 상태 추정 정확도에 많은 영향을 미치게 된다. 따라서 본 논문에서는 표적의 기동 특성을 모델링하고 표적의 현재와 과거의 상태를 이용하여 정의된 기동 모델 중 적합성을 판단하는 기법을 제시하며 시뮬레이션을 통하여 기동하는 표적의 모델을 정확하게 판단하는지를 검증하고자 한다.

• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.103-112
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• 2008

Image-based motion capture technology is often used in making realistic computer animation. In this paper we try to implement image-based motion rendering by fixing a camera to a PC. Existing image-based rendering algorithms have disadvantages of high computational burden or low accuracy. The former disadvantage causes too long making-time of an animation. The latter disadvantage degrades reality in making realistic animation. To compensate for those disadvantages of the existing approaches, this paper presents an image-based motion rendering algorithm with low computational load and high estimation accuracy. In the proposed approach, an incremental motion rendering algorithm with low computational load is analyzed in the respect of optimal control theory and revised so that its estimation accuracy is enhanced. If we apply this proposed approach to optic motion capture systems, we can obtain additional advantages that motion capture can be performed without any markers, and with low cost in the respect of equipments and spaces.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.245-250
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• 2018

Ab Image Processing can be applied to the various fields nowadays. The healthcare, which people may have interest, is one of those fields. The healthcare program which fitness equipments are used requires the correct posture of body. However, people usually does exercise by oneself with various reasons such as cost to hiring personal trainer. In this case, the effectiveness of training should not be guaranteed. Moreover, reverse effect may be produced. This paper is an implementing a correcting posture program by using image processing techniques, which people can use exercise training by oneself. It is expected that people can have a personal trainer who coaches the correct postur through this program.

• 연구논문집
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• s.29
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• pp.111-121
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• 1999

Weft insertion and Beating mechanism which weaves fabric with completion the pattern of warp yarn and weft yarn in the high speed rapier loom is driven by cam operating method. This mechanism has 4 cams on the coaxial line for driving. These cams form a pair by two. and perform a conjugate motion with each other. By this reason, it is necessary for two pairs to realize the synchronized motion through exact and optimal design. From this viewpoint, to analysis the whole cams' movement and to realize the high speed of rapier loom, I tried to develop the computer aided simulation program. In this study, I would like to introduce the simulation program about above-mentioned 4 kinds of cam mechanism which can display the profiles of 2 pairs of cam mechanism not to speak of mutual relationships of their movement on the monitor.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1624-1630
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• 2019

With the increase in there are smart devices penetration around the world, services related to exercise checks are attracting attention. However, there is existing exercise amount measurement service does not use the altitude information, or because the use of an algorithm that does not corrected the GPS altitude error is not accurate movement distance provided have a problem. Therefore, in this paper, to improve the existing problems, Kalman-filter-based user movement distance measurement algorithm is designed and implementation of improved by using the Kalman-filter based GPS and barometric altimeter sensor fusion algorithm to improve the altitude value the accuracy and of calculate the coordinate plane distance. As a result of comparing the designed and implementation of algorithm with the existing algorithms, it is confirmed that the proposed algorithm improves the accuracy by about 2.17%.