• 한국정밀공학회지
• /
• 제16권1호통권94호
• /
• pp.95-107
• /
• 1999

The design models of a new product in general are created using clay models or wooden mock-ups. The reverse engineering(RE) technology enables us to quickly create the CAD model of the new product by capturing the surface of the model using laser digitizers or coordinate measuring machines. Rapid prototyping (RP) is another technology that can reduce the product development time by fabricating the physical prototype of a part using a layered manufacturing technique. In reverse engineering process, however, the digitizer generates an enormous amount of point data, and it is time consuming and also inefficient to create surfaces out of these data. In addition, the surfacing operation takes a great deal of time and skill and becomes a bottleneck. In rapid prototyping, a faceted model called STL file has been the industry standard for providing the CAD input to RP machines. It approximates the CAD model of a part using many planar triangular patches and has drawbacks. A novel procedure that overcomes these problems and integrates RE with RP is proposed. Algorithms that drastically reduce the point clouds data have been developed. These methods will facilitate the use of reverse engineered geometric data for rapid prototyping, and thereby will contribute in reducing the product development time.

• International Journal of CAD/CAM
• /
• 제7권1호
• /
• pp.1-10
• /
• 2007

The compression of CAD models is a key technology for realizing Internet-based collaborative product development because big model sizes often prohibit us to achieve a rapid product information transmission. Although there exist some algorithms for compressing discrete CAD models, original precise CAD models are focused on in this paper. Here, the characteristics of hierarchical structures in CAD models and the distribution of their redundant data are exploited for developing a novel data encoding method. In the method, different encoding rules are applied to different types of data. Geometric data is a major concern for reducing model sizes. For geometric data, the control points of B-spline curves and surfaces are compressed with the second-order predictions in a local coordinate system. Based on analysis to the distortion induced by quantization, an efficient method for computation of the distortion is provided. The results indicate that the data size of CAD models can be decreased efficiently after compressed with the proposed method.

• 한국소음진동공학회논문집
• /
• 제17권7호
• /
• pp.596-604
• /
• 2007

이 논문은 후판 환형 디스크의 기하학적인 형상이 래디얼 방향 진동에 의해 방사되는 소음에 미치는 영향을 연구하였다. 디스크의 내경을 고정한 상태에서 두께와 외경을 주어진 범위내에서 변경하면서 이론적인 해를 이용하여 래디얼 모드의 고유진동수와 진동모드의 변화를 검토하였다. 이 결과를 이용하여, 해당 형상을 가진 디스크의 래디얼 방향 고유진동에 의해 발생되는 원격음장, 음향파워 및 방사효율을 계산하였다. 이 결과로부터 고유진동에 의한 음향파워와 방사효율을 최소화할 수 있는 기하학적인 형상을 선택하였다. 마지막으로, 최적화된 디스크의 임의 위치에 단위 하모닉 가진을 가했을 경우에 발생되는 음향파워 및 방사효율 스펙트럼을 구하였으며, 전산해석을 통해 그 정확성을 검증하였다. 이 논문에 소개된 방법을 적용하면 주어진 제한 조건을 만족하면서 목표 주파수 범위내에서 래디얼 진동에 의해 발생되는 소음을 최소화할 수 있는 기하학적인 형상을 간편하고 논리적으로 구할 수 있다.

• 한국게임학회 논문지
• /
• 제11권1호
• /
• pp.131-138
• /
• 2011

최근 지형렌더링에서 사용되는 DEM(digital elevation map) 데이터들은 일반 컴퓨터에서 처리 가능한 메모리 용량을 초과하기 때문에 밉맵(mipmap)을 이용한 상세단계(LOD : level-of-detail) 기법들을 사용하는 외부 메모리 처리(out-of-core) 기법들이 많이 연구되고 있다. 하지만 밉맵을 이용한 상세단계 기법들은 높은 레벨의 상세단계에서 데이터의 간략화에 따른 기하오차가 발생한다. 이러한 기하오차는 시점이 이동할 때 상세단계가 변화하는 부분에서 기하파핑(geometry popping) 현상을 유발한다. 본 논문에선 기하오차를 줄이기 위해 정점 응집맵을 제안한다. 전처리 단계에서 생성되는 정점 응집맵은 벡터를 저장한 텍스쳐이다. 이 벡터들은 상대적으로 기울기 변화량이 큰 위치로 주변의 정점들을 응집시켜 지형의 기하오차를 줄이기 때문에 단순히 밉맵을 이용하여 지형을 렌더링 했을 때 나타나는 기하파핑 현상을 효과적으로 줄일 수 있다.

• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.792-799
• /
• 2022

Building Information Modeling (BIM) technology is a key component of modern construction engineering and project management workflows. As-is BIM models that represent the spatial reality of a project site can offer crucial information to stakeholders for construction progress monitoring, error checking, and building maintenance purposes. Geometric methods for automatically converting raw scan data into BIM models (Scan-to-BIM) often fail to make use of higher-level semantic information in the data. Whereas, semantic segmentation methods only output labels at the point level without creating object level models that is necessary for BIM. To address these issues, this research proposes a hybrid semantic-geometric approach for clutter-resistant floorplan generation from laser-scanned building point clouds. The input point clouds are first pre-processed by normalizing the coordinate system and removing outliers. Then, a semantic segmentation network based on PointNet++ is used to label each point as ceiling, floor, wall, door, stair, and clutter. The clutter points are removed whereas the wall, door, and stair points are used for 2D floorplan generation. A region-growing segmentation algorithm paired with geometric reasoning rules is applied to group the points together into individual building elements. Finally, a 2-fold Random Sample Consensus (RANSAC) algorithm is applied to parameterize the building elements into 2D lines which are used to create the output floorplan. The proposed method is evaluated using the metrics of precision, recall, Intersection-over-Union (IOU), Betti error, and warping error.

• 대한원격탐사학회지
• /
• 제28권6호
• /
• pp.635-651
• /
• 2012

To produce a level-3 monthly composite image from daily level-2 Sea-viewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll-a concentration data set in the East Sea, we applied four average methods such as the simple average method, the geometric mean method, the maximum likelihood average method, and the weighted averaging method. Prior to performing each averaging method, we classified all pixels into normal pixels and abnormal speckles with anomalously high chlorophyll-a concentrations to eliminate speckles from the following procedure for composite methods. As a result, all composite maps did not contain the erratic effect of speckles. The geometric mean method tended to underestimate chlorophyll-a concentration values all the time as compared with other methods. The weighted averaging method was quite similar to the simple average method, however, it had a tendency to be overestimated at high-value range of chlorophyll-a concentration. Maximum likelihood method was almost similar to the simple average method by demonstrating small variance and high correlation (r=0.9962) of the differences between the two. However, it still had the disadvantage that it was very sensitive in the presence of speckles within a bin. The geometric mean was most significantly deviated from the remaining methods regardless of the magnitude of chlorophyll-a concentration values. Its bias error tended to be large when the standard deviation within a bin increased with less uniformity. It was more biased when data uniformity became small. All the methods exhibited large errors as chlorophyll-a concentration values dominantly scatter in terms of time and space. This study emphasizes the importance of the speckle removal process and proper selection of average methods to reduce composite errors for diverse scientific applications of satellite-derived chlorophyll-a concentration data.

• 한국측량학회지
• /
• 제35권4호
• /
• pp.261-268
• /
• 2017

The topographic volume estimation is carried out for the earth work of a construction site and quarry excavation monitoring. The topographic surveying using instruments such as engineering levels, total stations, and GNSS (Global Navigation Satellite Systems) receivers have traditionally been used and the photogrammetric approach using drone systems has recently been introduced. However, these methods cannot be adopted for inaccessible areas where high resolution satellite images can be an alternative. We carried out experiments using Kompsat-3/3A data to estimate topographic volume for a quarry and checked the accuracy. We generated DEMs (Digital Elevation Model) using newly acquired Kompsat-3/3A data and checked the accuracy of the topographic volume estimation by comparing them to a reference DEM generated by timely operating a drone system. The experimental results showed that geometric differences between stereo images significantly lower the quality of the volume estimation. The tested Kompsat-3 data showed one meter level of elevation accuracy with the volume estimation error less than 1% while the tested Kompsat-3A data showed lower results because of the large geometric difference.

• 한국측량학회지
• /
• 제28권6호
• /
• pp.621-626
• /
• 2010

For geometric correction of high-resolution images, the authors matched corresponding objects between a large-scale digital map and a QuickBird image to obtain the coefficients of the first order polynomial. Proximity corrections were performed, using the Boolean operation, to perform automated matching accurately. The modified iterative closest point (ICP) algorithm was used between the point data of the surface linear objects and the point data of the edge objects of the image to determine accurate transformation coefficients. As a result of the automated geometric correction for the study site, an accuracy of 1.207 root mean square error (RMSE) per pixel was obtained.

• 대한조선학회논문집
• /
• 제30권3호
• /
• pp.90-99
• /
• 1993

선체 구조해석에서 유한요소의 활용에 따라 3차원적인 모델이 필요하게 되었으나 선체구조는 매우 복잡하고 주문생산에 따른 선체규격의 상이함에 의해 유한요소 모델링에 어려움이 많다고 할 수 있다. 유한요소 소프트웨어에서 제공하는 pre-processor나 geometric modeler를 활용하여 모델링을 짧은 시간내 편리하게 하기 위해서는 DB에 저장된 설계 데이타로 부터 요소형성에 긴요한 데이타들을 추출하여 사용할 필요가 있게 된다. 본문에는 engineering database의 부분적인 구현 예로서, 설계-해석 자동화의 한 분야인 유한요소 모델링에 필요한 내용들이 설계 데이터로 부터 추출되어 관계형 데이타 테이블로 정형화되는 과정이 개념적으로 나타나 있다.

• 한국측량학회지
• /
• 제33권2호
• /
• pp.83-94
• /
• 2015

최근 남북교류 협력사업과 통일에 대비한 각종 계획 및 정책 수립에 비접근 지역에 대한 공간자료의 필요성이 대두되고 있다. 이에 본 연구에서는 PLEIADES 영상과 TerraSAR 기준점을 활용하여 비접근 지역의 1/5,000 수치지형도 제작을 위한 기하보정의 허용오차 만족 가능성을 평가하였다. GPS 측량성과의 기준점 수량 및 배치를 변경해 가면서 기하보정을 수행하였고, 기하학적 배치와 안전성을 고려하여 5점을 활용하는 방안을 선정하였다. 선정된 위치에 TerraSAR 기준점을 확보하여 정확도를 평가한 결과, RMSE는 X=±0.64m, Y=±0.46m, Z=±0.28m였고, TerraSAR 기준점으로 PLEIADES 영상을 기하보정한 결과, RMSE는 X=±0.34m, Y=±0.27m, Z=±0.11m, 검사점에 대한 RMSE는 X=±0.50m, Y=±0.30m, Z=±0.66m임을 확인하였다. 본 연구 결과를 통해 비접근지역의 PLEIADES 영상과 최적의 TerraSAR 기준점을 확보하여 공간자료를 구축한다면 국내 항공삼각측량의 조정계산 및 오차한계의 1/5,000 수치지형도 제작 규정에 부합하는 고정밀 공간정보의 확보가 가능하다고 사료된다.