• The Journal of Korean Physical Therapy
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• 제24권5호
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• pp.334-339
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• 2012

Purpose: This study was conducted in order to compare the ability to control postural sway during perturbation when stroke patients received postural sway induced by head rotation. Methods: This study included 15 stroke patients and 15 healthy adults. Each group was measured by 3D motion analysis for determination of the angle of the neck in static position and by balance performance monitor for estimation of swaying angle in both neutral posture and head rotation position. These results were then analyzed in order to compare the healthy control group and the stroke patients group. Results: In both static posture ($60.7{\pm}4.81$) and dynamic posture ($51.46{\pm}6.87$, $70.8{\pm}6.55$), significant decreases were observed in the angle of head rotation of the patient group, compared to the healthy group (p<0.05), and significant decreases were observed in the sway angle of the patient group when in the neutral position ($3.62{\pm}7$, $24{\pm}0.60$) and head rotation ($3.04{\pm}0.80$, $51.46{\pm}6.87$), compared to the healthy group (p<0.05). Conclusion: According to these findings, patients with stroke tend to restrict the ROM of head rotation and swaying angle in dynamic posture and maintain their posture instability using limitation of head movement relative to the trunk and sway angle of area which is larger than that of affected side in unaffected side.

• Journal of Astronomy and Space Sciences
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• 제26권2호
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• pp.229-236
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• 2009

다목적실용위성-5호는 2010년 발사를 목표로 고도 550km의 저궤도에 위치하게 될 것이다. 다목적실용위성-5호의 임무인 고정밀 SAR(Synthetic Aperture Radar) 영상을 처리하기 위해서는 정확한 위성의 위치(20cm) 와 속도(0.03cm/s)가 결정되어야 한다. 이러한 요구 조건은 한국 전자통신연구원에서 개발한 ETRI GNSS Precise Orbit Determination(EGPOD) 소프트웨어로 검증하였다. 0.1Hz 수신 주기의 SAC-C 위성 반송파위상 데이터로 정밀궤도결정을 수행하였다. 이중 주파수 GPS 데이터를 사용하여 수신 선호의 전리층 오차를 대부분 제거하고 이중 차분된 데이터를 생성함으로써 GPS 위성과 수신기의 공통된 시계 오차를 없앴다. 동역학 모델 접근 방법을 이용하였고, Batch Least Square Estimator(BLSE) 필터로 각 데이터 아크(arc) 에 해당하는 위성의 위치와 속도, 대기저항 계수, 태양풍 계수를 추정하였다. 또한 정밀한 동역학 모델을 위하여 모델 되지 않은 부정확한 가속도 항을 보충하는 경험 가속도를 추가하였다. 경험 가속도는 위성의 공전 주기(revolution) 당 한번씩 시선방향(radial), 진행방향(along-track), 수직방향(cross-track)으로 추정하고, 수직방향의 상수 항에 대해서는 해당 데이터 아크에 관하여 부가적으로 추정하였다. 정밀궤도결정 결과 검증을 위하여 EGPOD 소프트웨어에서 얻어진 결과와 JPL에서 제공하는 정밀궤도력(Precise Orbit Ephemeris)을 비교하였다.

• Journal of Positioning, Navigation, and Timing
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• 제6권4호
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• pp.149-157
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• 2017

In this study, a system that precisely determines the heave of ship hull was designed using time-differenced GNSS carrier phase measurement, and the performance was examined. First, a technique that calculates precise position relative to the original position based on TDCP measurement for point positioning using only one receiver was implemented. Second, to eliminate the long-cycle drift error occurring due to the measurement error that has not been completely removed by time-differencing, an easily implementable high-pass filter was designed, and the optimum coefficient was determined through an experiment. In a static experiment based on the precise heave measurement system implemented using low-cost commercial GNSS receiver and PC, the heave could be measured with a precision of 2 cm standard deviation. In addition, in a dynamic experiment where it moved up and down with an amplitude of 48 cm and a cycle of 20 seconds, precise heave without drift error could be determined. The system proposed in this study can be easily used for many applications, such as the altitude correction of fish detection radar.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.191-196
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• 2006

In GPS Positioning, the error of satellite orbit will affect user's position accuracy directly, it is important to determine the satellite orbit precise. The real-time orbit is needed in kinematic GPS positioning, the precise GPS orbit from IGS would be delayed long time, so orbit prediction is key to real-time kinematic positioning. We analyze the GPS predicted ephemeris, on the base of comparison of EKF and UKF, a new orbit prediction method is put forward based on UKF in this paper, the result shows that UKF improves the orbit predicted precision and stability. It offers a new method for others satellites orbit determination as Galileo, and so on.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2003년도 한국우주과학회보 제12권2호
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• pp.48-48
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• 2003

A precision orbit determination (POD) system of low Earth orbiter using the GPS dual frequency measurements has been developed. It is an option of KOMPSAT-2 POD process system. In this research, the orbit determination using the real dual frequency carrier phase measurements of the SAC-C satellite was conducted to verify KOMPSAT-2 POD system reliability. The SAC-C satellite is an international cooperative mission between NASA, the Argentine Commission on Space Activities (CONAE), Centre National d'Etudes Spatiales (CNES or the French Space Agency), Instituto Nacional De Pesquisas Espaciais (Brazilian Space Agency), Danish Space Research Institute, and Agenzia Spaziale Italiana (Italian Space Agency). The SAC-C was launched at November 21, 2000. The altitude of SAC-C is 702 km and it carries a TurboRogue III GPS and four high gain antennas developed by the JPL. The receiver is able to generate the dual frequency code and carrier phase data. Double-differenced carrier phase measurements were formed using 25 IGS stations. The data were sampled at 30 seconds interval. Fully dynamic approach was adopted for POD. The POD results were compared with those of JPL using GOA n software. The comparison verifies that deci-meter level 3D position accuracy of low Earth orbiting satellite could be achieved. The POD system has been developed successfully.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 추계종합학술대회
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• pp.473-476
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• 2007

RSSI 방법에 의한 모바일 사용자의 위치확인은 최근에 매우 주목을 받는 연구영역이지만, 모바일사용자에 의해 쉽게 변화하는 RSSI의 신호전파특성의 복잡성 때문에 여전히 문제가 많은 부분으로 남아있다. 따라서 본 연구에서는 분할기반의 선형 보간법이 이러한 복잡한 환경에서의 무선신호의 활발한 변화패턴을 안정시키기 위해 제안되었다. 제안된 최적화 알고리즘은 IEEE802.15.4 표준에서 운영되는 현재의 무선 위치인식(CC2431, 칩콘사, 노르웨이) 알고리즘에 추가의 형태로 제안되었다. 첫단계는 다른 정적 위치에서의 RSSI값이 모아지고 정해진 거리에 대한 평균값과 표준편차를 얻기 위한 단계를 거치는 캘리브레이션 모델로 구성된다. RSSI 평탄화알고리즘은 사용자가 움직일 때 각 레퍼런스노드에서 받는 무선신호의 동적변동을 최소화하기 위해 제안되었다. 거리는 첫 번째 단계에서 얻어지는 분할공식을 사용하여 계산되어진다. RSSI값이 하나의 분할보다 크게 떨어지는 경우에는, 확률적 접근방법에 의해서 그 거리가 결정된다. 각 거리에 대한 거리확률분포함수가 계산되고 특별한 RSSI에서 가장 높은 함수값이 거리로 결정되게 된다. 마지막으로 각 레퍼런스 노드로부터 얻어진 거리를 사용하여 삼각측량 알고리즘이 사용되어서 위치 가 결정되게 된다. 실험 결과 제안된 알고리즘에 의해 계산된 위치는 위치추적을 위한 알고리즘으로 매우 가능성있는 결과를 제시하였다.

• 유통과학연구
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• 제16권9호
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• pp.35-41
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• 2018

Purpose - The purpose of was paper is to do a conceptual analysis of the determination of local superior commodities using the location quotient technique and an analysis of the contribution of superior products to the regional economy. The results of determining superior commodities are used to determine regional product specialization and its contribution to the regional economy. Local superior commodities are dynamic and selected based on the potential to increase regional income. Research design, data, and methodology - This study used location quotient techniques and regional economic analysis with annual data rocks, production data in the agriculture, plantation, fishery and forestry sectors. Local superior commodities are calculated to contribute to regional economists. Result - The findings obtained showed the location quotient technique can determine local superior commodities and local superior commodities contributed positively to the regional economy. The test results were carried out in Jember Regency, East Java Province, Indonesia. Conclusion - The ass well main commodities of Jember Regency are tobacco. Tobacco commodities contribute positively to the regional economy, they were not significantly due to affected by the low of commodity prices in harvest. The low prices indicate the strength of the weak bargaining position of farmers towards the market.

• 센서학회지
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• 제29권3호
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• pp.194-200
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• 2020

Human detection is an important aspect in many video-based sensing and monitoring systems. Studies have been actively conducted for the automatic detection of humans in camera images, and various methods have been proposed. However, there are still problems in terms of performance and computational cost. In this paper, we describe a method for efficient human detection in the field of view of a camera, which may be static or moving, through multiple processing steps. A detection line is designated at the position where a human appears first in a sensing area, and only the one-dimensional gray pixel values of the line are monitored. If any noticeable change occurs in the detection line, corner detection and optical flow computation are performed in the vicinity of the detection line to confirm the change. When significant changes are observed in the corner numbers and optical flow vectors, the final determination of human presence in the monitoring area is performed using the Histograms of Oriented Gradients method and a Support Vector Machine. The proposed method requires processing only specific small areas of two consecutive gray images. Furthermore, this method enables operation not only in a static condition with a fixed camera, but also in a dynamic condition such as an operation using a camera attached to a moving vehicle.

• 전자공학회논문지SC
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• 제49권3호
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• pp.12-18
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• 2012

본 논문에서는 항공기에 장착된 안테나가 정지 위성을 향하도록 관성측정기를 사용하여 지향각을 계산하는 방식을 제시한다. 대상 시스템에서 안테나는 항공기 앞에 위치하고 있고 몸체 유연성을 고려하기 위해 관성측정기를 도입하며, 항공기 중심부 GPS/INS와 안테나부 관성항법장치(INS) 사이의 위치와 속도 차이를 활용하여 스트랩다운 INS 표류 오차를 억제하기 위한 칼만필터를 설계한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권2호
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• pp.101-106
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• 2010

We propose an approach to estimate the real-time moving trajectory of an object in this paper. The object's position is obtained from the image data of a CCD camera, while a state estimator predicts the linear and angular velocities of the moving object. To overcome the uncertainties and noises residing in the input data, a Extended Kalman Filter(EKF) and neural networks are utilized cooperatively. Since the EKF needs to approximate a nonlinear system into a linear model in order to estimate the states, there still exist errors as well as uncertainties. To resolve this problem, in this approach the Kohonen networks, which have a high adaptability to the memory of the inputoutput relationship, are utilized for the nonlinear region. In addition to this, the Kohonen network, as a sort of neural network, can effectively adapt to the dynamic variations and become robust against noises. This approach is derived from the observation that the Kohonen network is a type of self-organized map and is spatially oriented, which makes it suitable for determining the trajectories of moving objects. The superiority of the proposed algorithm compared with the EKF is demonstrated through real experiments.