• Journal of Korea Multimedia Society
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• v.12 no.4
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• pp.600-607
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• 2009

In order to obtain continuous navigation information at low cost, we demonstrate, in this work, a position system which is constructed by integrating accelerometers with GPS. The proposed system eliminates vibration and noise elements of accelerometers by using Kalman filter. Calculating continuous navigation information is executed by unifying GPS position data and accelerations of moving and centripetal directions which affect the vehicle. Through simulations and experiments, we show that the performance of GPS can be improved by employing accelerometers. Our proposed system can provide stable and seamless position information where the GPS signal is unavailable due to obstruction like tunnels, and high buildings. The designed system can be implemented at low cost of circuit design and production, and satisfy various installation conditions.

• Journal of the Earthquake Engineering Society of Korea
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• v.10 no.6 s.52
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• pp.29-36
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• 2006

This paper proposes a new algorithm of MS-EIDV (modal sensitivity-effective independence distribution vector) for determining optimal accelerometer locations (OAL) by using the Fisher Information Matrix (FIM) derived from mode-shape sensitivities. Also, the paper provides a reasonable guideline for selecting OAL which can reflect dynamic responses of a structure effectively. Since OAL should be determined with known values of structural parameters but since the parameters can be estimated by applying an inverse method such as SI (system identification) using measured response, the paper proposes a statistical method to overcome the paradox by considering the error bound of the structural parameters. To examine the proposed methods, a frequency-domain SI method has been applied. By using the identified results, the minimum necessary number of accelerometers could be selected depending on the number of target measurable modes. Through simulation studies, the results by applying EIDV method directly using the information of mode shapes were compared with those by applying the proposed MS-EIDV.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.1
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• pp.91-95
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• 2009

We investigated the characteristics of a capacitive nano-accelerometer based on carbon nanotube by means of classical molecular dynamics simulations. The position of the telescoping nanotube was controlled by the externally applied force and the feedback sensing was achieved from the capacitance change. Considering energy dissipation, the oscillation features of the nano-accelerometers were similar, regardless of their initial displacements. The capacitance variations, which were almost linearly proportional to the applied acceleration, were monitored within an error tolerance.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.293-296
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• 2010

최근의 스마트폰은 UI 또는 엔터테인먼트의 목적으로 가속도계 및 자세계를 제공하고 있으며 이들 정보를 이용한 게임 등의 엔터테인먼트 어플리케이션은 물론 좌표 등의 위치 정보를 통한 위치기반 서비스도 이미 제공중이다. 늘어가는 위치정보 서비스 내에서의 공간정보 질의회수 및 예측회수 증가는 장차 위치정보 서비스 제공에 있어 서버측 인프라에 부하를 증대시킬 수 있다. 이에 이들 하드웨어가 제공하는 가속도 및 방위각을 활용하여 속도 및 진행방향 정보를 생성하고 이를 위치예측기에 활용하여 연산 속도 및 예측의 정확성 등의 성능을 향상시킬 수 있는 방안을 제시한다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2002.04a
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• pp.85-91
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• 2002

인공위성을 이용한 위치결정시스템인 GPS(Global Positioning System)는 mm 단위의 정밀도로 정적, 동적 위치관측이 가능한 시스템으로 현재 여러 분야에서 활용이 증가하고 있다. 특히 교량, 댐 등 안전이 요구되는 사회기반 시설물의 동적 거동을 기록하고 감시하는데 있어서 GPS가 새로운 관측시스템으로 주목받고 있으며 이를 실용화하기 위한 연구가 활발히 진행되고 있다. 본 연구에서는 GPS를 이용하여 건물의 거동상태를 점검 하는 것을 목적으로 하고 있다. 초고층건물의 거동을 해석하기 위하여 건물 옥상에 GPS, 가속도계, 풍향계, 풍속계를 설치하였다. GPS와 가속도계를 이용하여 건물의 변위 및 가속도를 5Hz로 관측하였다. GPS를 이용한 변위관측은 1시간, 1분, 1초 등의 간격으로 3차원 변위를 계산하였으며, 계산된 3차원 변위를 가속도계, 풍속계, 풍향계와 연계하여 해석하였다. 대상 건물에 대한 최대 변위를 관측한 결과 시공 단계에 따라 큰 차이를 보였으며 건물의 안정성을 평가할 수 있는 척도인 건물의 고유 진동수의 경우 약 0.2Hz의 값을 얻을 수 있었다. 향후 모든 센서들을 통합하여 실시간으로 건물을 모니터링할 수 있는 시스템을 개발할 경우 건물의 안정성 해석 및 유지보수에 본 연구가 큰 기여를 할 수 있을 것으로 사료된다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.7
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• pp.777-787
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• 2012

The transient analysis for the output voltage of a piezoresistive microaccelerometer takes a relatively high computation time because at least two iterations are required to calculate the piezoresistive-structural coupled response at each time step. In this study, the high computational cost for calculating the transient output voltage is considerably reduced by an approach integrating the mode superposition method and the least square method. In the approach, data on static displacement and output voltage calculated by piezoresistive-structural coupled simulation for three acceleration inputs are used to develop a quadratic regression model, relating the output voltage to the displacement at a certain observation point. The transient output voltage is then approximated by a regression model using the displacement response cheaply calculated by the mode superposition method. A high-impact microaccelerometer subject to several types of acceleration inputs such as 100,000 G shock, sine, step, and square pulses are adopted as a numerical example to represent the efficiency and accuracy of the suggested approach.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.927-938
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• 2021

A similar magnitude of non-gravitational perturbations are act on the formation flying low earth orbit satellites with a certain time difference. Using this temporal correlation, the non-gravity acceleration of the low earth orbiting satellites can be transferred for the othersatellites. There is a period in which the accelerometer data of one satellite is unavailable for GRACE and GRACE-FO satellites. In this case, the accelerometer data transplant method described above is officially used to recover the accelerometer data at the Jet Propulsion Laboratory (JPL). In this paper, we proposed a model for predicting accelerometer data of formation flying low earth orbit satellites using a neural network (NN) model to improve the estimation accuracy of the transplant method. Although the transplant method cannot reflect the satellite's position and space environmental factors, the NN model can use them as model inputs to increase the prediction accuracy. A prediction test of an accelerometer data using NN model was performed for one month, and the prediction accuracy was compared with the transplant method. The NN model outperformsthe transplant method with 55.0% and 40.1% error reduction in the along-track and radial directions, respectively.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.3
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• pp.294-299
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• 2010

ELT(Emergency Locator Transmitter) is used to send distress signal in the event of an aircraft crash. It is very useful but the ELT may transmit wrong signal caused by misjudging between crash and hard-landing. The reason of this problem is the low accuracy of the mechanical G-switch currently in use. To improve the ELT, we developed an ELT system using the MEMS(Micro Electro-Mechanical Sensor) accelerometer. The ELT system consists of acceleration data acquisition/analysis system, program of crash recognition, and GPS receiving system for the position information of an aircraft crash site. A free-drop table was developed for verification of the ELT system. The free-drop table was designed to replicate the acceleration and the pulse duration of the hard landing and the crash. By using the free-drop table, we showed that the ELT system performed well.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.518-524
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• 2011

This paper presents a study on the calibration of accelerometer data in the gyroscope free inertial navigation system(GFINS) using fuzzy inference system(FIS). The conventional INS(inertial navigation system) which can measure yaw rate and linear velocity using inertial sensors as the gyroscope and accelerometer. However, the INS is difficult to design as small size and low power because it uses the gyroscope. To solve the problem, the GFINS which does not have the gyroscope have been studied actively. However, the GFINS has cumulative error problem still. Hence, this paper proposes Fuzzy-GFINS which can calibrate the data of an accelerometer using FIS consists of two inputs that are ratio between linear velocity of the autonomous ground vehicle(AGV) and the accelerometer and ratio between linear velocity of the encoders and the accelerometer. To evaluate the proposed Fuzzy-GFINS, we made the AGV with Mecanum wheels and applied the proposed Fuzzy-GFINS. In experimental result, we verified that the proposed method can calibrate effectively data of the accelerometer in the GFINS.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.39 no.8
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• pp.766-773
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• 2011

The inclination attitude of the Ground-Based Radar can be measured by the accelerometer due to its static operation environment, but the measurement error is generated from the angular acceleration of the accelerometer, which is created in mechanical oscillation by the dynamic environment, like the wind, gust, rotating antenna, etc. In this paper, the technique of reducing the measurement error of the attitude by the dynamic attitude is proposed and the result of the simulation and the analysis of tracking error by the attitude error are presented.