• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.3-12
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• 2020

Nowadays, as-is BIM generation has been popularly adopted in the architecture, engineering, construction and facility management (AEC/FM) industries. In order to generate a 3D as-is BIM of a structural component, current methods require a registration process that merges different sets of point cloud data obtained from multiple locations, which is time-consuming and registration error-prone. To tackle this limitation, this study proposes a registration-free 3D point cloud data acquisition technique for as-is BIM generation. In this study, small-size mirrors that rotate in both horizontal and vertical direction are used to enable the registration-free data acquisition technique. First, a geometric model that defines the relationship among the mirrors, the laser scanner and the target component is developed. Second, determinations of optimal laser scanner location and mirror location are performed based on the developed geometrical model. To validate the proposed registration-free as-is BIM generation technique, simulation tests are conducted on key construction components including a PC slab and a structural wall. The result demonstrates that the registration-free point cloud data acquisition technique can be applicable in various construction elements including PC elements and structural components for as-is BIM generation.

• 한국전산구조공학회논문집
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• 제20권2호
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• pp.181-190
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• 2007

본 연구에서는 NURBS곡면식을 바탕으로 하는 곡면 모델링과 쉘 유한요소해석의 효율적인 연동체계를 개발하고자 한다. 기하학적으로 정확한 쉘 유한요소해석에서 정확한 기하량의 계산은 필수적이며, 따라서 곡면을 표현하는 일반적인 방법인 NURBS곡면식으로 부터 필요한 기하량을 직접 계산한다면 보간에 의해 발생할 수 있는 기하학적 오차를 줄임으로써 해의 수렴성을 높일 수 있다. 아울러 기하학적으로 정확한 쉘 유한요소를 일반적인 곡면에 적용하기 힘들었던 한계점을 극복하여 수학적으로 표현 가능한 단순한 곡면들뿐만 아니라, NURB곡면식으로 표현 가능한 일반적인 곡면의 해석이 가능하게 되어 적용범위를 확장할 수 있다. 본 연구에서는 곡면을 생성함에 있어 주어진 데이터 점들을 보간하여 NURBS곡면을 생성하는데, 이러한 데이터들은 일반적으로 곡면의 스캐닝을 통해 얻을 수 있다. 곡면을 보간하여 NURBS곡면을 생성하는 과정에서 사용되는 매개변수 정의방식에 때라 생성된 곡면의 정확성이 차이를 보이므로 곡면의 형상에 따라 적합한 방식을 사용하여 곡면을 보간 할 필요가 있다. 몇 가지 잘 알려진 수치예제를 통하여 개발된 연동체계의 성능과 정확성을 검증하고 그 결과를 비교 분석하였다.

• 지질공학
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• 제16권4호
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• pp.437-453
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• 2006

2002년 태풍 '루사'로 인하여 집중호우가 내린 강릉지역에는 3,000개가 넘는 토석류 산사태가 발생하였다. 그 중에서도 산사태가 가장 집중적으로 발생한 강릉시 사천지역과 주문진-연곡지역의 산사태를 대상으로 야외조사를 통해 1,365개소의 산사태 자료를 수집하여 산사태 발생 원인과 기하학적 특징에 관해 분석하였다. 연구지역에 발생한 산사태의 평균규모는 폭 10 m, 길이 30 m, 사면경사는 $21^{\circ}{\sim}35^{\circ}$로 분석되었고, 산사태의 평면형상은 사태의 상단부보다 하단부의 폭이 넓은 'A'형태가 50.5% 정도를 차지하고 있다. 그리고 사천면의 산불피해 지역은 산사태의 발생 빈도가 더 높게 나타나고 있다. 산사태가 발생한 사면의 방향은 일정한 경향을 보여주는데, 그 원인은 풍화에 의한 지형적 특징과 집중호우가 내릴 때 동반된 강한 바람의 영향인 것으로 해석되었다. 연구지역에서 249개의 절리를 측정하여 방향성을 분석하였으며, 절리밀도를 산정하기 위하여 51개소에서 창틀 조사방법을 수행하였으며, 그 결과 절리 밀도가 $0.05{\sim}0.1$ 범위에 해당하는 지역에서 산사태가 많이 발생하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집C
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• pp.152-157
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• 2001

This paper is to model a 3D-shape product applying mathematically the data acquired from a 30 scanner and using an Automatic Design Program. The research studied in th reverse engineering up to now has been developed continuously and surprisingly. However, forming 3D-shape sol id models in CAE and CAM. based on the research, the study leaves much to be desired. Especially, analyses and studies reverse-designing automatically using measured data after manufacturing. Consequently, we are going to acquire geometric data using an 30 scanner in this study with which we will open a new field of reverse engineering by a program which can design a 3D-shape solid model in a CDA-based program automatically. Utilization of this program make it possible to minimize time in designing a product and establish a ADS(Automatic design system) program library to using all of the data from reverse engineering.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.620-623
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• 2005

KARI has prepared Calibration and Validation activities for the KOMPSAT-2 (KOrea Multi-Purpose SATellite-2) MSC data that will be launched at the end of this year. Firstly, we divided the Cal/Val activities of it to four parts, Spatial, Spectral, Radiometric and Geometric, and defmed the detailed Cal/Val items from them. Secondly, Cal/Val targets have been defined and manufactured for the role of them. Thirdly, we have made the plan and the procedure for the Cal/Val items, developed the codes for them, studied more detailed method to do them, and trained the Cal/Val activities using the foreign satellite image data by ourselves. KARI has been now setting up the KOMPSAT-2 LEOP plan with the Cal/Val activities, and probably will finish the EOP Cal/Val activities for the KOMPSAT-2 MSC data by the next April or May.

• 응용통계연구
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• 제8권1호
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• pp.51-60
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• 1995

크기가 $n \times p$인 자료행렬에서 p개의 변수들과 성격이 다소 다른 $p_s$개의 변수를 같이 고려한 크기가 $n \times (p + p_s)$ 자료행렬이 있다 하자. 전통적 주성성분분석은 성격이 다른 변수들로 인하여 효과적인 결과를 제공하지 못한다. 본 논문에서는 이런 점을 개선하기 위해서 성격이 다른 $p_s$개의 변수를 추가변수로 두는 추가적 주성분분석을 소개하려 한다. 이 기법은 전통적 주성분분석의 대수적,기하적인 면을 따른다. 그리고 전통적 주성분분석과 추가적 주성성분분석을 활용한 한국 프로야구의 8개팀과 1982-1992년 동안의 14개의 부문별 기록에 대한 전형적인 자료분석의 한 예를 제시한다. 더불어 두 분석의 결과도 비교하였다.

• 한국환경과학회지
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• 제15권4호
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• pp.373-378
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• 2006

The western coast of South Korea is famous for its large and broad tidal lands. Nevertheless, land reclamation, which has been conducted on a large scale, such as Sihwa embankment construction project has accelerated coastal environmental changes in the embankment inland. For monitoring of environmental change, vegetation change detecting of the embankment inland were carried out and field survey data compared with Landsat TM, ETM+, IKONOS, and EOC satellite remotely sensed data. In order to utilize multi-temporal remotely sensed images effectively, all data set with pixel size were analyzed by same geometric correction method. To detect the tidal land vegetation change, the spectral characteristics and spatial resolution of Landsat TM and ETM+ images were analyzed by SMA(spectral mixture analysis). We obtained the 78.96% classification accuracy and Kappa index 0.2376 using March 2000 Landsat data. The SMA(spectral mixture analysis) results were considered with comparing of vegetation seasonal change detection method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3475-3496
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• 2018

Most of current watermarking algorithms for GIS vector data embed copyright information by means of modifying the coordinate values, which will do harm to its quality and accuracy. To preserve the fidelity of vector line data and protect its copyright at the same time, a lossless watermarking algorithm is proposed based on storage feature in this paper. Firstly, the superiority of embedding watermark based on storage feature is demonstrated theoretically and technically. Then, the basic concepts and operations on storage feature have been defined including length and angle of the polyline feature. In the process of embedding watermark, the watermark information is embedded into directions of polyline feature by the quantitative mechanism, while the positions of embedding watermark are determined by the feature length. Hence, the watermark can be extracted by the same geometric features without original data or watermark. Finally, experiments have been conducted to show that coordinate values remain unchanged after embedding watermark. Moreover, experimental results are presented to illustrate the effectiveness of the method.

• 한국생산제조학회지
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• 제25권6호
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• pp.522-531
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• 2016

In this study, we propose an object identification method for bin-picking developed for industrial robots. We identify the grasp posture and the associated geometric parameters of grasp objects using the joint data of a robotic gripper. Prior to grasp identification, we analyze the grasping motion in a low-dimensional space using principle component analysis (PCA) to reduce the dimensions. We collected the joint data from a human hand to demonstrate the grasp-identification algorithm. For data acquisition of the human grasp data, we conducted additional research on the motion characteristics of a human hand. We explain the method for using the algorithm of grasp identification for bin-picking. Finally, we present a subject for future research using our proposed algorithm of grasp model and identification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권5호
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• pp.2607-2627
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• 2017

Nonnegative matrix factorization (NMF) has received considerable attention due to its effectiveness of reducing high dimensional data and importance of producing a parts-based image representation. Most of existing NMF variants attempt to address the assertion that the observed data distribute on a nonlinear low-dimensional manifold. However, recent research results showed that not only the observed data but also the features lie on the low-dimensional manifolds. In addition, a few hard priori label information is available and thus helps to uncover the intrinsic geometrical and discriminative structures of the data space. Motivated by the two aspects above mentioned, we propose a novel algorithm to enhance the effectiveness of image representation, called Dual graph-regularized Constrained Nonnegative Matrix Factorization (DCNMF). The underlying philosophy of the proposed method is that it not only considers the geometric structures of the data manifold and the feature manifold simultaneously, but also mines valuable information from a few known labeled examples. These schemes will improve the performance of image representation and thus enhance the effectiveness of image classification. Extensive experiments on common benchmarks demonstrated that DCNMF has its superiority in image classification compared with state-of-the-art methods.