• 한국항공우주학회지
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• 제45권10호
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• pp.836-843
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• 2017

달 탐사에 있어 로버 활용의 필요성은 (구)소련과 중국의 사례와 미국의 수차례에 걸친 화성 탐사로 인해 입증되었다. 달 탐사 로버의 성공적인 운용을 위해서는 높은 정밀도의 항법 성능이 요구되며, 이를 위해서는 높은 정밀도의 초기 정렬이 필수적이다. 일반적으로는 단일 위치 정렬을 수행하나, 높은 수준의 초기 정렬 성능이 필요한 경우 다중위치 정렬을 수행한다. 하지만, 달 환경의 제약으로 인해 달 탐사 로버의 초기 정렬 성능은 지구환경에 비하여 떨어지게 되며, 이는 다중위치 정렬을 수행하여도 극복할 수 없다. 따라서 본 논문에서는 태양 센서를 보조로 활용한 달 환경에서의 다중위치 정렬 기법을 제안한다. 태양 벡터의 측정치 모델을 구성하고, 이에 대한 가관측성 분석을 수행하였다. 컴퓨터 시뮬레이션을 통해 제안한 알고리즘의 성능을 분석하였고, 그 결과 초기 자세 추정 성능이 크게 향상되었음을 확인하였다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2006년도 추계학술대회 논문집 Vol.19
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• pp.302-303
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• 2006

The response surface modeling of the pretilt angle control using ion-beam (IB) alignment on nitrogen doped diamond-like carbon (NDLC) thin film layer is investigated. The response surface model is used to analyze the variation of the pretilt angle under various process conditions IB exposure angle and IB exposure time are considered as Input factors. The analysis of variance technique is used to analyze the statistical significance, and effect plots are also investigated to examine the relationships betweenthe process parameters and the response. The model can allow us to reliably predict the pretilt angle with respect to the varying process conditions.

• Journal of Advanced Marine Engineering and Technology
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• 제5권1호
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• pp.20-27
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• 1981

The alignment of propulsion shaft systems by the fair curve method has been developed over the past twenty years and in recent years its basic problems have been almost solved. At the present time, studies on introducing actual conditions are being undertaken. In a fair curve alignment, its aim is to achieve a stable shaft system which will be relatively insensitive to misalignment or the influence of external factors such as thermal variations due to the sunshine, speed change, etc. The key point of fair curve alignment is the calculations of reactions in the straight support and reaction influence numbers. The present authors have developed those calculating method by the matrix method of the three-moment theorem. The fair curve alignment is based on the analysis of propulsion shaft system which is assumed as a continous beam on multiple support points. The propeller shaft is divided into several elements. For each element, the nodal point equation is derived by the three-moment theorem. Reaction of supporting points of straight shaft and reaction influence numbers are calculated by the matrix calculation of each nodal point equation. It has been found that results of calculation for the model shaft agree well with those of experiment which had been measured by the strain gauge method. Results of calculation for the actual propulsion shafting of the steam turbine had been compared also with those of Det norske Vertas.

• 한국주조공학회지
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• 제21권5호
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• pp.290-295
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• 2001

We fabricated test samples containing various shape elements and surface roughness checking points for the jewelry cast master patterns by employing the 3D computer aided design (CAD), selective laser sintering (SLS) rapid prototype (RP) with the DuraForm powders. We varied the alignment angle from $0^{\circ}$ to $10^{\circ}$ at a given layer thickness of 0.08 and 0.1mm, respectively, in RP operation. Dimensions of the shape elements as well as values of surface roughness are characterized by an optical microscope and a contact-scanning profilometer. Surface roughness values of the top and vertical face increased as the alignment angle increased, while the other roughness values and shape elements variation were not depending on the alignment angle. The resolution of the shape realization was enhanced as the layer thickness became smaller. The minimum diameter of the hole, common in jewelry design, was 1.2 mm, and the shrinkage became 12% at the 1.6 mm-diameter hole, Our results implied that we face down the proposed design elements with $0^{\circ}$ alignment angle, and consider the shrinkage effect of each shape element in DuraForm RP jewelry modeling.

• 한국군사과학기술학회지
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• 제14권4호
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• pp.684-693
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• 2011

Measurement time delay in the transfer alignment is very important. It has been well known that the time delay degrades the alignment performance and makes some navigation errors on the transfer alignment of slave INS(SINS). Therefore there are many schemes to eliminate that time delay but the compensation technique through the estimation by Kalman filter through modeling the time delay as a random constant is generally used. In the case of change over measurement time delay or the large measurement time delay, estimation performance in the existing compensation technique is degraded because model of time delay is not correct any more. In this paper, we propose the method to keep the time delay almost constant even though in the abnormal communication state and very small through feedback compensation using double buffer. Double buffer consists of two moving window to temporarily store measurements from master INS and slave INS in real time.

• 정보처리학회논문지B
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• 제19B권2호
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• pp.135-148
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• 2012

본 논문에서는 Predicate-Argument Tuple (PAT)를 기반으로 텍스트 간 심층적 근사 정렬(Approximate Alignment)을 통한 문장 단위 바꿔쓰기표현(sentential paraphrase) 식별 모델을 제안한다. 두 문장 간의 PAT 기반 근사 정렬 결과를 바탕으로, 두 문장의 의미적 연관성을 효과적으로 표현하는 다양한 정렬 자질(alignment feature)들을 정의함으로써, 바꿔쓰기표현 식별 문제를 지도 학습(supervised learning) 기반의 자동 분류 모델로 접근하였다. 실험을 통해서 제안 모델의 가능성을 확인할 수 있었으며, 시스템의 오류 분석을 통해 제안 방법이 아직 해결하지 못하는 다양한 바꿔쓰기표현 유형들을 식별함으로써 향후 시스템의 성능 개선 방향을 도출하였다.

• 수산해양기술연구
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• 제18권1호
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• pp.39-46
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• 1982

박용추진축계의 최적배치상태를 얻기 위해 선형계획법에 의한 최적배치 전산프로그램을 개발했으며, 여기에 필요한 자료들은 삼차모먼트정리를 매트릭스산법으로 전산처리해서 얻어냈고, 이 프로그램의 신속성을 확인하기 위해 모형축의 계산치와 스트레인 게이지에 의한 실측치를 비교하고, 실선축계에 적용한 결과 다음과 같이 요약할 수 있었다. 1. 최적배치의 필수자료인 직선지지상태의 반력 및 반력경향계수를 구하는 전산프로그램을 개발해서, 모형축에 적용한 결과, 실험치와 계산치가 거의 일치했고, 실선축에 대해 계산한 값도 타 프로그램으로 계산한 것과 거의 비슷했다. 2. 본 논문의 스트레인게이지에 의한 축계상태치의 계측방법은 실선축의 배치상태의 조정시에 매우 효과적으로 활용할 수 있을 것이다. 3. 최적배치의 전산프로그램을 실선축에 적용한 결과, 제한조건을 만족하려면, 지지베어링들을 상당량 수직방향으로 조절해야 함을 알 수 있었다. 따라서 최적배치의 관건은 배치계산에 필요한 정확한 자료와 제한조건을 구하는 것이라 할 수 있겠다.

• 한국도로학회논문집
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• 제16권5호
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• pp.143-154
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• 2014

PURPOSES : This study drew factors affecting motorcycle accidents in Seoul by severity using an ordered probit model and aimed to analyze and verify the drawn influence factors. METHODS : As the severity of the accidents could be classified into three types (fatal injury, serious injury and minor injury), this study drew the factors affecting accidents by a comparative analysis employing an ordered probit model, removed the variables that would not secure significance sequentially to construct a model with high explanatory power regarding the factors affecting the severity of motorcycle accidents, and calculated the marginal effect of each factor to understand the degree of each factor's impact on the severity. First, Model 1 put in all variables; Model 2 was constructed by removing the variables of the road surface conditions that could not meet the level of significance (p=0.608); Model 3 was constructed by removing gender variable (p=0.423); and Model 4 was constructed finally by removing age variable (p=0.320). RESULTS : As a result of an analysis, statistically significant variables were time of occurrence, type of accident, road alignment and motorcycle displacement, and it turned out that the impacts on the severity were in the following order: a road alignment of left downhill, the type of motorcycle-to-vehicle accidents and a road alignment of a flatland on the left. The significance of the models was tested using the likelihood ratio, the level of significance and suitability statistics about them, and as a result of the test, the significance level and suitability of the constructed models were all excellent. In addition, the model accuracy indicating the accuracy of a predicted value compared to that of the value actually observed was 70.3% for minor injury; 70.1% for serious injury; and 68.6% for fatal injury, and the overall accuracy was 70.2%, which was very high. CONCLUSIONS : As a result of an analysis of motorcycle accidents in Seoul through the ordered probit model and the marginal effect, it turned out that their severity increased in nighttime accidents as compared to daytime ones and gradually increased in the order of motorcycle-to-vehicle accidents, motorcycle-to-person ones and the ones involving motorcycle only. As a result of an analysis, the severity of accidents in road alignments of left downhill, left flatland and straight downhill increased as compared to those in a road alignment of straight flatland and that the severity of accidents of motorcycles with a displacement larger than 50cc was higher than that of those with a displacement smaller than 50cc.

• 반도체디스플레이기술학회지
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• 제12권1호
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• pp.1-7
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• 2013

Grey-level statistical models have been widely used in many applications for object location and identification. However, conventional models yield some problems in model refinement when training images are not properly aligned, and have difficulties for real-time recognition of arbitrarily rotated models. This paper presents improved grey-level statistical models that align training images using image or feature matching to overcome problems in model refinement of conventional models, and that enable real-time recognition of arbitrarily rotated objects using efficient hierarchical search methods. Edges or features extracted from a mean training image are used for accurate alignment of models in the search image. On the aligned position and orientation, fitness measure based on grey-level statistical models is computed for object recognition. It is demonstrated in various experiments in PCB inspection that proposed methods are superior to conventional methods in recognition accuracy and speed.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2007년도 학술대회 1부
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• pp.1006-1011
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• 2007

Active Appearance Models은 객체의 모델링에 널리 사용되며, 특히 얼굴 모델은 얼굴 추적, 포즈 인식, 표정 인식, 그리고 얼굴 인식에 널리 사용되고 있다. 최초의 AAM은 Shape과 Appearance가 하나의 계수에 의해서 만들어 지는 Combined AAM이였고, 이후 Shape과 Appearance의 계수가 분리된 Independent AAM과 3D를 표현할 수 있는 Combined 2D+3D AAM이 개발 되었다. 비록 Combined 2D+3D AAM이 3D를 표현 할 수 있을지라도 이들은 공통적으로 2D 영상을 사용하여 모델을 생산한다. 본 논문에서 우리는 stereo-camera based 3D face capturing device를 통해 획득한 3D 데이터를 기반으로 하는 3D AAM을 제안한다. 우리의 3D AAM은 3D정보를 이용해 모델을 생산하므로 기존의 AAM보다 정확한 3D표현이 가능하고 Alignment Algorithm으로 Inverse Compositional Image Alignment(ICIA)를 사용하여 빠르게 Model Instance를 생산할 수 있다. 우리는 3D AAM을 평가하기 위해 stereo-camera based 3D face capturing device로 촬영해 수집한 한국인 얼굴 데이터베이스[9]로 얼굴인식을 수행하였다.