• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.19 no.5
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• pp.678-683
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• 2010

The drum cam with rotational follower is used to apply the ATC and index table of machine tools and it has the merit of minimizing the backlash. In general, to machine the drum cam with rotational follower, 5-axis CNC machine must be used and its kinematic principle must be included in modeling on CAM. So, the commercialized CAM software can't be applied to this machining of drum cam. Though some special software for machining drum cam was developed, it could be applied to special 5-axis CNC machine tools and the finish machining module was not applied. To solve this problem, this study includes the induction of the post processing algorithm for the rough machining of drum cam on several 5-axis CNC machine tools, type AC, AB and Be. The finish machining software will be treated in next study. A sample drum cam was machined on 5-axis CNC machine tool of AC type. The designed geometric profile of drum cam consist to the measured profile after machining well. This post processing algorithm for rough machining of the drum cam was clearly verified.

• Laser Solutions
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• v.14 no.2
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• pp.24-29
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• 2011

The design of a telecentric f-${\theta}$ lens with a field of view (FOV) $30^{\circ}$ and an effective focal length of 1000mm is presented. The optical stop is placed at the front plane and the design is based on a geometric ray tracing technique, and the designed system consists of a series of convex and concave lenses. The designed f-${\theta}$ lens showed a considerable reduction in weight with a simplified structure and resulted in a good performance in the designated FOV. Detail analysis of rays is also presented. 653nm (red laser), 586nm (green laser), and 468nm (blue laser) were simulated as a light source and image illuminating source. The developed optical design requires 7 pieces of lenses made of SF1, N-FK56, N-LAK33, and BK7 glass materials. With optimal parametric design, the effective focal length was calculated to be 974.839mm which is very close to the initial design target. For the manufacturing purpose, the dimensions of lens curvature and thickness were truncated with error ranging 0.1% to 3.2%. As a result, the overall error was calculated to be 3.2% which can be still tolerable for display, laser material, and machining processing.

• Journal of Fashion Business
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• v.22 no.2
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• pp.107-117
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• 2018

Nettle fiber, a sustainable fiber, was applied to the fabrication of denim to identify changes in textile appearance and formation. For the weaving of nettle denim, nine specimens, distinguished by three kinds of composite use of nettle fiber and three stages of fabrication processes, were used. The kinetic characteristics of the nine specimens were measured by the KES-FB system, and the images of the specimens of finished denim textiles, captured with a CCD Camera, were analyzed. In terms of the extensibility (EM) of nettle denim, all specimens showed post-processing increase, thereby suggesting an easy transformation of the textile as a source material for denim fabric. The effects of washing on the woven formation of denim were also identified. The geometric roughness (SMD), the problematic property of bast-fiber-like nettle fiber, was found to be decreased by washing. In terms of the bending rigidity (B) of the textile, the post-processing shrinking percentage of elastic nettle denim was found to decrease; all specimens that underwent bio-washing only also manifested that post-processing elasticity increased. To improve the draping of nettle denim, a mixed spinning together with washing were found to be advantageous. In terms of the shear stiffness (G), which is closely associated with the appearance of clothes, the formation of textile was improved regardless of the types of processing, including bio-washing and bleach washing.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.513-517
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• 2006

Autonomous Underwater Vehicles plays specific role in underwater investigation. Generally, this kind of vehicles will move along a planned path for sea bottom or underwater installations inspections, search for mineral deposits along shelves, seeking lost items including bottom mines or for hydrographic measurements. A crucial barrier for it remains the possibility of precise determination of their underwater position. Commonly used radionavigation systems do not work in such circumstances or do not guarantee the required accuracies. In the paper some new solution is proposed on the assumption that it is possible to increase the precision by certain processing of a combination of measurements conducted by means of different techniques. Objective of the paper is the idea of navigation of AUV which consists of two phases: firstly a trip of AUV along pre-planned route and after that postprocessed transformation of collected data in post-processing mode. During the processing of collected data the modern adjustment methods have been applied, mainly estimation by means of least squares and M-estimation. Application of these methods should be associated with the measuring and geometric conditions of navigational tasks and thus suited for specific scientific and technical problems of underwater navigation. The first results of computer aided investigation will be presented and the basic scope of these application and possible development directions will be indicated also. The paper is prepared as an partial results of the works carried out within a framework of the research Project: 'Improvement of the Precise Underwater Vehicle Navigation Methods' financed by the Polish Ministry of Education and Science (No 0 T00A 012 25).

• Korean Journal of Remote Sensing
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• v.21 no.5
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• pp.371-382
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• 2005

We present a processing system for the Atmospheric Infrared Sounder (AIRS) sounding suite onboard Aqua satellite. With its unprecedented 2378 channels in IR bands, AIRS aims at achieving the sounding accuracy of radiosonde (1 K in 1-km layer for temperature and $10\%$ in 2-km layer for humidity). The core of the processor is the International MODIS/AIRS Processing Package (IMAPP) that performs the geometric and radiometric correction for generation of Level 1 brightness temperature and Level 2 geophysical parameters retrieval. The processor can produce automatically from received raw data to Level 2 geophysical parameters. As we process the direct-broadcast data almost for the first time among the AIRS direct-broadcast community, a special attention is paid to understand and verify the Level 2 products. This processor includes sub-systems, that is, the near real time validation system which made the comparison results with in-situ measurement data, and standard digital information system which carry out the data format conversion into GRIdded Binary II (GRIB II) standard format to promote active data communication between meteorological societies. This processing system is planned to encourage the application of geophysical parameters observed by AIRS to research the aqua cycle in the Korean peninsula.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.12
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• pp.505-518
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• 2023

3D point cloud semantic segmentation is a computer vision task that involves dividing the point cloud into different objects and regions by predicting the class label of each point. Existing 3D semantic segmentation models have some limitations in performing sufficient fusion of multi-modal features while ensuring both characteristics of 2D visual features extracted from RGB images and 3D geometric features extracted from point cloud. Therefore, in this paper, we propose MMCA-Net, a novel 3D semantic segmentation model using 2D-3D multi-modal features. The proposed model effectively fuses two heterogeneous 2D visual features and 3D geometric features by using an intermediate fusion strategy and a multi-modal cross attention-based fusion operation. Also, the proposed model extracts context-rich 3D geometric features from input point cloud consisting of irregularly distributed points by adopting PTv2 as 3D geometric encoder. In this paper, we conducted both quantitative and qualitative experiments with the benchmark dataset, ScanNetv2 in order to analyze the performance of the proposed model. In terms of the metric mIoU, the proposed model showed a 9.2% performance improvement over the PTv2 model using only 3D geometric features, and a 12.12% performance improvement over the MVPNet model using 2D-3D multi-modal features. As a result, we proved the effectiveness and usefulness of the proposed model.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.52-54
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• 2001

3차원 그래픽 가속기는 지오메트리 처리(geometry processing)와 레스터라이져(rasterizer)로 구성된다. 본 논문에서는 지오메트리 처리들 고속으로 수행할 수 있는 벡터 형태의 처리 구조(VGE)를 제안하였다. 특허 기존의 부동소수점을 계산할 수 있는 구조에 4개의 FADD, FMUL, 128개의 벡터 레지스터를 추가하여 지오메트리 연산을 가속했으며 VGE와 비슷한 H/W 비용을 갖는 Hitachi의 SH4와 비교했을 때 평균 4.7배의 성능향상을 보였다. 또한 성능 평가를 위해 범용프로세서 시뮬레이터인 Simplescalar를 수정하여 시뮬레이터를 제작했으며 Viewperf Benchmark를 입력으로 사용하였다.

• The Transactions of the Korea Information Processing Society
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• v.5 no.1
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• pp.181-190
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• 1998

특정한 부분에 정확성을 가지는 기하학 형태인식은 이미지 분석 응용에서 중요하게 다루어져 왔다. 또한, 부분적 혹은 변형된 모양을 계층화하는 새로운 접근방법에 대한 연구가 계속되고 있다. 그러므로 본 논문에서는 자유형태의 부드러운 곡선을 생성하는데 용이한 스플라인 공식들을 이용하여 새로운 기하학 형태 매칭 접근 방법을 제안한다. 이와 같은 방법에서, 여러개의 스플라인 공식들로 생성된 곡선들의 집합은 동일한 형태의 성질을 가진다. 본 논문은 곡선 설계를 위하여 일반적인 상호작용 방법과 다양한 스플라인 공식간에 관계들을 이용함으로서 간단한 설계점(design point)들의 이동으로 형태매칭 방법에 관한 관계성을 보인다. 그러므로, 본 논문에서는 3차 스플라인의 공식(B-splines, Bezier splines, Catmull-Rom splines)을 이용하여 형태 매칭 방법을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.219-222
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• 2003

웹 코스웨어의 대부분은 2 차원적인 텍스트와 이미지를 이용한 것으로 설계되어 있으나 3 차원의 입체개념 형성이 필요한 입체도형 학습에서는 효과적인 학습이 되기 어렵다. 본 논문은 WWW에서 3차원 가상현실을 적용하여 구현한 웹 코스웨어로 중학생을 위한 입체도형 학습을 주제로 하였다. 2 차원 평면공간에서는 설명하기 어려운 입체도형의 성질을 3 차원의 가상현실의 공간에서 학습자 스스로 다양한 경험을 통해 이를 이해하고 학습의 개별화 요구를 충족시키는데 그 목적이 있다. 이를 위해 학습자가 주도적으로 학습을 조작, 진행해 나갈 수 있는 구성주의 학습이론을 기반으로 웹에서 3 차원 가상공간을 제공하는 스크립트 언어인 VRML2.0 을 이용하여 모델링하여 동적인 학습과 상호작용성을 높일 수 있도록 구현하였다.

• Proceedings of the KSRS Conference
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• v.1
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• pp.67-70
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• 2006

KARI is developing Image Data Acquisition and Control System (IDACS) for pre-processing meteorological and ocean data acquired on geostationary orbit. This paper describes the functions and architecture of IDACS and gives its operation policy including backup operation to overcome limitation of single-configured antenna system. The COMS IDACS provides the capability to receive the raw sensor data and disseminate processed MI data to users via a satellite. From the processed image data, users can produce a set of meteorological and ocean products for a wide range of applications. Most of IDACS subsystems are being developed by Korean technologies and experience acquired from previous projects. In case of COMS geometric correction software module, as it is closely dependent on the characteristics of imagers and spacecraft bus system, it is being co-developed with overseas prime contractor who develops spacecraft bus system.