• 한국정밀공학회지
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• 제27권11호
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• pp.98-105
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• 2010

In this paper, double ball-bar is used to estimate the geometric errors of a rotary table, which includes one-axial motion, two-radial motions and two-tilt motions, except the angular positioning error. To simplify the measurement procedures, three measurement steps have been designed and developed. At each measurement step, one end of the double ball-bar is fixed at the nose of spindle and the other end is located on the rotary table. And specific circular test path is planned to keep the distance between two balls as constant at ideal case. The relationship including the geometric errors of a rotary table and the measured distance between two balls which is distorted by the geometric errors is defined by using ball-bar equation. Each geometric error is modeled as $4^{th}$ order polynomial considering $C^1$-continuity. Finally the coefficients of polynomial are calculated by least-square method. Simulation is done to check the validation of the suggested method considering set-up errors and measurement noise. Suggested method is applied to estimate geometric errors of a rotary table of a 5-axis machine tool.

• 한국해양학회지:바다
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• 제7권3호
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• pp.100-107
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• 2002

지난 20년 기간 동안에 한반도와 그 주변해상을 통과했던 64개의 태풍에 대해 태풍 파라미터 모형(TPM)과 원시 소용돌이 모형(PVM)의 모의를 통해서 해상풍을 산출하였다. 그 결과를 동중국해, 남해 그리고 동해상에서 관측된 일본 기상청(JMA)의 해상풍 자료와 비교하였으며, 오차 분석을 통해서 두 모형의 신뢰도와 민감도에 대해 고찰하였다. 원해상의 해양부이 관측자료와의 비교에서는 두 모형 모두 관측치보다 낮게 모의되었으며, rms오차와 상대오차는 PVM이 TPM보다 훨씬 낮게 나타났다. 그러나, 큐슈 연안의 해상풍 자료에 대해서는 PVM은 약간 높게 TPM은 낮게 모의되었으며, PVM이 TPM보다 오차가 작은 것으로 나타났다. 태풍중심위치와 해상풍 관측지점 간의 거리에 따른 상대오차의 분석결과, 태풍 중심권에 근접한 거리에서는 두 모형 모두 상대오차가 작았으나, 200km이상의 먼 거리에 대해서는 TPM의 상대오차는 거리에 비례해서 약 70％까지 크게 증가하는 반면. PVM의 상대오차는 약 20%정도로 나타났다.

• Imaging Science in Dentistry
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• 제50권4호
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• pp.281-290
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• 2020

Purpose: The objective of the present study was to evaluate the prevalence of dental implants positioning errors and their associations with adjacent structures and anatomical variations by means of cone-beam computed tomography (CBCT). Materials and Methods: CBCT images of 207 patients (584 dental implants) were evaluated by 2 oral radiologists. The distance between the implant and the adjacent teeth/implants was measured and classified as adequate (≥1.5 mm and ≥3 mm, respectively) or inadequate. The presence of thread exposure, cortical perforation, implant dehiscence, implant penetration into adjacent structures, and anatomical variations was also recorded. The incisor canal diameter and the depth of the concavity of the submandibular fossa were measured in order to evaluate their correlations with the frequency of implant penetration in these structures. Descriptive analyses, the Fisher exact test, and Spearman correlation analysis were performed (α=0.05). Results: The overall prevalence of positioning errors was 82.9%. The most common error was the inadequate distance between the implant and the adjacent teeth/implants. The presence of anatomical variations did not significantly influence the overall prevalence of errors (P>0.05). There was a positive correlation between the diameter of the incisor canal and the frequency of implant penetration in this structure (r=0.232, P<0.05). Conclusion: There was a high prevalence of dental implant positioning errors, and positioning errors were not associated with the presence of anatomical variations. Professionals should be aware of the space available for implant placement during the preoperative planning stage.

• Journal of Advanced Marine Engineering and Technology
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• 제37권7호
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• pp.760-770
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• 2013

Detecting grammatical errors from a text is a long-history application. In this paper, we compare the performance of two grammatical error detection techniques, which are implemented as a sub-module of an automated English scoring system. One is to use a full syntactic parser, which has not only grammatical rules but also extra-grammatical rules in order to detect syntactic errors while paring. The other one is to use a finite state machine which can identify an error covering a small range of an input. In order to compare the two approaches, grammatical errors are divided into three parts; the first one is grammatical error that can be handled by both approaches, and the second one is errors that can be handled by only a full parser, and the last one is errors that can be done only in a finite state machine. By doing this, we can figure out the strength and the weakness of each approach. The evaluation results show that a full parsing approach can detect more errors than a finite state machine can, while the accuracy of the former is lower than that of the latter. We can conclude that a full parser is suitable for detecting grammatical errors with a long distance dependency, whereas a finite state machine works well on sentences with multiple grammatical errors.

• 한국컴퓨터정보학회논문지
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• 제16권12호
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• pp.11-21
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• 2011

임베디드 센서는 낮은 전력량과 신호의 세기로 장애물이나 거리와 같은 공간 환경에 많은 영향을 받으며, 이러한 원인들로 인해 임베디드 센서에서는 노이즈 데이터가 빈번히 발생한다. 임베디드 센서에서 획득하는 정보는 시계열 데이터로 존재하기 때문에 지속적으로 발생하는 시계열 정보에 대한 오류 검출을 실시간적으로 수행하기는 어렵다. 본 논문에서는 임베디드 장치의 물리적 특성을 고려하여 실시간적으로 발생하는 임베디드 센서의 오류 신호를 검출하는 시계열 예측 기반 오류 검출 기법을 제안한다. 본 논문에서 제안한 시계열 예측 기반 오류 검출 기법은 안정 구간 함수를이용하여 현재 발생하는 임베디드장치 신호의 오류를 판단한다. 안정 구간 함수는 임베디드장치 신호를 관측하여 오류 검출을 수행할 때 최근의 신호들에 오류 가중화를 적용함으로써 효과적으로 오류 신호를 탐지할 수 있다. 본 논문에서 제안한 기법을 Intel Lab 신호를 이용하여 실험하였으며, 실험에서 본 논문에서 제안한 기법은 중심이동평균 기법에 비해 26.25%의 정확도 향상을 나타내었다.

• 한국정밀공학회지
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• 제31권4호
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• pp.319-326
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• 2014

Accurate estimation of the robot's position has an important role in autonomous navigation. Odometry is one of the most widely used techniques for mobile robot positioning. However, odometry has a well-known drawback that the position errors are accumulated when the travel distance increases. The UMBmark method is the conventional odometry calibration scheme for two wheel differential mobile robots. In the UMBmark method, the approximations for small angles are used in order to simplify the calculations. In this paper, we propose the new calibration scheme by using experimental orientation errors. Kinematic parameters can be calculated accurately without approximations by using experimental orientation errors. The numerical simulation and experimental results show that the odometry accuracy can be improved by the proposed method.

• 항공우주시스템공학회지
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• 제15권3호
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• pp.99-104
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• 2021

멀터콥터형 드론에 적용할 목적으로 바람 센서의 특성을 분석하고 실험을 통하여 비교하였다. 회전식 풍속계의 경우 동역학 효과가 측정 오차를 만들며, 초음파식 센서는 제작 오차와 신호처리 오차가 주요한 것으로 나타났다. 초음파식 센서는 트랜스듀서의 거리가 멀수록 오차가 줄어든다. 실험을 통하여 이러한 특성들을 확인하였으며, 멀티콥터에는 전압 출력 혹은 10 hz 이상의 데이터 출력이 가능한 초음파식 센서가 적합하다고 판단한다.

• 한국항만학회지
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• 제5권2호
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• pp.77-84
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• 1991

This paper is compared with fourier series and least square polynomial fit and interpolation to mechanism stated number in electro-optical distance measuring instrument. Systematic instrumental errors occurring in electro-optical systems include uncertainties in the position of the electrical center of the transmitter, uncertainties in the effective center of the reflectors. frequency drift and instrument nonlinearity. Microwave systems are affected by uncertainties in the electrical centers of the master and remote units and by a phenomenon called group swing or reflection. As the result of this study, mechanism stated number will be used as verification of electro0optical measuring instrument to distance measurement.

• Journal of Astronomy and Space Sciences
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• 제29권4호
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• pp.351-362
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• 2012

We made a study on real-time determination method for relative position using the laser-measured distance data between satellites. We numerically performed the determination of relative position in accordance with extended Kalman filter algorithm using the vectors obtained through nonlinear equation of relative motion, laser simulator for distance measurement, and attitude determination of chief satellite. Because the spherical parameters of relative distance and direction are used, there occur some changes in precision depending on changes in relative distance when determining the relative position. As a result of simulation, it was possible to determine the relative position with several millimeter-level errors at a distance of 10 km, and sub-millimeter level errors at a distance of 1 km. In addition, we performed the determination of relative position assuming the case that global positioning system data was not received for long hours to see the impact of determination of chief satellite orbit on the determination of relative position. The determination of precise relative position at a long distance carried out in this study can be used for scientific mission using the satellite formation flying.

• Journal of Mechanical Science and Technology
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• 제17권6호
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• pp.825-835
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• 2003

Previous studies have demonstrated the importance of joint angle errors mainly due to skin artifact and measurement errors during gait analysis. Joint angle errors lead to unreliable kinematics and kinetic analyses in the investigation of human motion. The purpose of this paper is to present the Joint Averaging Coordinate System (JACS) method for human gait analysis. The JACS method is based on the concept of statistical data reduction of anatomically referenced marker data. Since markers are not attached to rigid bodies, different marker combinations lead to slightly different predictions of joint angles. These different combinations can be averaged in order to provide a "best" estimate of joint angle. Results of a gait analysis are presented using clinically meaningful terminology to provide better communication with clinical personal. In order to verify the developed JACS method, a simple three-dimensional knee joint contact model was developed, employing an absolute coordinate system without using any kinematics constraint in which thigh and shank segments can be derived independently. In the experimental data recovery, the separation and penetration distance of the knee joint is supposed to be zero during one gait cycle if there are no errors in the experimental data. Using the JACS method, the separation and penetration error was reduced compared to well-developed existing methods such as ACRS and Spoor & Veldpaus method. The separation and penetration distance ranged up to 15 mm and 12 mm using the Spoor & Veldpaus and ACRS method, respectively, compared to 9 mm using JACS method. Statistical methods like the JACS can be applied in conjunction with existing techniques that reduce systematic errors in marker location, leading to an improved assessment of human gait.