• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.28-31
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• 2009

In this paper, a new approach for solid texture synthesis from input volume data is presented. In the pre-process, feature vectors and a similarity set were constructed for input volume data. The feature vectors were used to construct neighboring vectors for more accurate neighborhood matching. The similarity set which recorded 3 candidates for each voxel helped more effective neighborhood matching. In the synthesis process, the pyramid synthesis method was used to synthesize solid textures from coarse to fine level. The results of the proposed approach were satisfactory.

• Journal of the Korea Computer Graphics Society
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• v.4 no.2
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• pp.33-45
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• 1998

볼륨 가시화(volume visualization)는 3차원 볼륨 데이터로부터 의미 있는 가시적 정보를 추출하도록 도와주는 연구분야이다. 볼륨 렌더링(volume rendering)은 볼륨 데이터로부터 영상(image)을 얻는 기술을 말하는데, 이러한 렌더링 기법 중 물체공간(object space)에 기반한 스플래팅(splatting) 기법은 볼륨 데이터에 존재하는 응집성(coherence)의 이점을 이용할 수 있는 팔진트리(octree)나 피라미드(pyramid)와 같은 계층구조를 적용하기 쉽다. 본 논문에서는 볼륨 데이터에 팔진트리를 적용한 기존의 스플래팅 기법에 영상공간(image space)에서의 응집성의 이점을 이용하기 위한 계층구조로 4진트리(quadtree)와 범위트리(range tree)를 적용하는 새로운 스플래팅 기법을 제안한다. 이 기법은 볼륨 데이터내의 불투명한 복셀(voxel)들에 의해 가려지는 복셀들에 대한 방문을 가능한 한 피함으로써 전체적인 스플래팅의 속도를 향상시킨다. 이 기법은 잘 알려진 팔진트리, 4진트리 그리고 범위트리를 사용함으로써 그 구현이 쉽고, 추가적으로 많은 메모리를 사용하지 않으면서도 렌더링의 속도를 효율적으로 향상시킬 수 있는 기법이다.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.11
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• pp.589-600
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• 2002

Deformable models offer an attractive approach for extracting three-dimensional boundary structures from volumetric images. However, conventional deformable models have three major limitations - sensitive to initial condition, difficult to represent complex boundaries with severe object concavities and protrusions, and self-intersective between model elements. This paper proposes a deformable model that is effective to extract geometrically complex boundary surfaces by improving away the limitations of conventional deformable models. First, the proposed deformable model resamples its elements hierarchically based on volume image pyramid. The hierarchical resampling overcomes sensitivity to initialization by extracting the boundaries of objects in a multiscale scheme and enhances geometric flexibility to be well adapted to complex image features by refining and regularizing the size of model elements based on voxel size. Second, the physics-based formulation of our model integrates conventional internal and external forces, as well as a non-self-intersecting force. The non-self-intersecting force effectively prevents collision or crossing over between non-neighboring model elements by pushing each other apart if they are closer than a limited distance. We show that the proposed model successively extracts the complex boundaries including severe concavities and protrusions, neither depending on initial position nor causing self-intersection, through the experiments on several computer-generated volume images and brain MR volume images.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.1
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• pp.21-27
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• 2002

Inspection and shape measurement of three-dimensional objects are widely needed in industries for quality monitoring and control. A number of visual or optical technologies have been successfully applied to measure three-dimensional surfaces. However, those conventional visual or optical methods have inherent shortcomings such as occlusion and variant surface reflection. X-ray vision system can be a good solution to these conventional problems, since we can extract the volume information including both the surface geometry and the inner structure of any objects. In the x-ray system, the surface condition of an object, whether it is lambertian or specular, does not affect the inherent characteristics of its x-ray images. In this paper, we propose a three-dimensional x-ray imaging method to reconstruct a three dimensional structure of an object out of two dimensional x-ray image sets. To achieve this by the proposed method, two or more x-ray images projected from different views are needed. Once these images are acquired, the simultaneous algebraic reconstruction technique(SART) is usually utilized. Since the existing SART algorithms have several shortcomings such as low performance in convergence and different convergence within the reconstruction volume of interest, an advanced SART algorithm named as USART(uniform SART) is proposed to avoid such shortcomings and improve the reconstruction performance. Because, each voxel within the volume is equally weighted to update instantaneous value of its internal density, it can achieve uniform convergence property of the reconstructed volume. The algorithm is simulated on various shapes of objects such as a pyramid, a hemisphere and a BGA model. Based on simulation results the performance of the proposed method is compared with that of the conventional SART method.

• The Korea Journal of Herbology
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• v.37 no.5
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• pp.75-81
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• 2022

Objectives : In 『Treatise on Cold Damage Diseases』, the volume of preparation dosage measured in Hap was 6.5mL. This study aimed to confirm that a square-inch-spoon, which measures powder preparation dosage, was 1/3 Hap, and that Jeon-bi was 1/8 square-inch-spoon. Based on these values, this study also aimed to adjust the diameter of Firmiana-Seed-sized pill preparation, currently known as 6.5mm, so that one square-inch-spoon of powder preparation creates 16 pills. Methods : Calculated the ratio between the floor areas of square-inch-spoon and Jeon-bi and measured the ratio of volume; assumed that powder preparations were stacked as much as possible in the shape of a square pyramid when scooped comfortably, then calculated the slopes of 1/3 Hap and 1/4 Hap; measured the volumes of powdered Oryeongsan and Lijungwhan in square-inch-spoon and Jeon-bi; created the powders into Firmiana-Seed-sized pill preparation; adjusted the diameter of Firmiana Seed so that 16 pills could be created. Results : Inferring from the floor areas, the volume of square-inch-spoon is 9.2 times that of Jeon-bi; one square-inch-spoon should be 1/3 Hap for the powder to reach its maximum slope of 47° and, according to actual measurement of powder preparations, reach its maximum volume; when created into Firmiana-Seed-sized pill preparations, one square-inch-spoon should be 1/3 Hap so that approximately 16 pills were created. Conclusions : One square-inch-spoon of powder preparation was 1/3 Hap(2.17mL), Jeon-bi was 1/8 square-inch-spoon(0.27mL), and the diameter of Firmiana-Seed-sized pill preparation was 5.5mm.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.1
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• pp.13-19
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• 2016

This study is on the optimal rise depth of embossed panel for the ESS water tank. The thickness of panel is reduced at pressing operation, it could be calculated by volume conservation condition. The analysis of panel using STS304 material conducted by FEM. As a result of structural analysis, it was found that the optimal rise depth of arch embossed panel is recommended to be 70~90mm and the optimal rise depth of pyramid embossed panel is recommended to be 150~200mm. The proposed value of optimal rise depth could be a useful to the economic design of ESS water tank panel.

• International Area Studies Review
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• v.21 no.1
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• pp.247-279
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• 2017

Korean firms are faced with the necessity of creating new markets in 21st century. Korean economy has witnessed the accelerated growth rate of trade volume during the period from the latter part of 20th century to the early part of 21st century. In recent times, Korean export volumes have been stagnated. For the second take off, Korea has to create a new ASEAN BOP market. In order to penetrate into the ASEAN BOP Market, it is necessary for exporting firms to have a partnership with ASEAN countries via ODA. In particular, Public-Private Partnership(PPP) might be seen as an effective tool to access the BOP market in ASEAN region. The international development cooperation based on PPP will establish the humanitarian values as well as economic values through the combined effort of government and business enterprises. This study suggests four kinds of business model to have a mutual cooperation between Korean firms and ASEAN markets.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.447-454
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• 2018

This paper proposes a depth image generation algorithm of stereo images using a deep learning model composed of a CNN (convolutional neural network). The proposed algorithm consists of a feature extraction unit which extracts the main features of each parallax image and a depth learning unit which learns the parallax information using extracted features. First, the feature extraction unit extracts a feature map for each parallax image through the Xception module and the ASPP(Atrous spatial pyramid pooling) module, which are composed of 2D CNN layers. Then, the feature map for each parallax is accumulated in 3D form according to the time difference and the depth image is estimated after passing through the depth learning unit for learning the depth estimation weight through 3D CNN. The proposed algorithm estimates the depth of object region more accurately than other algorithms.

• Imaging Science in Dentistry
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• v.47 no.3
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• pp.165-174
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• 2017

Purpose: This study was performed to investigate the influence of object shape and distance from the center of the image on the volumetric accuracy of cone-beam computed tomography (CBCT) scans, according to different parameters of tube voltage and current. Materials and Methods: Four geometric objects(cylinder, cube, pyramid, and hexagon) with predefined dimensions were fabricated. The objects consisted of Teflon-perfluoroalkoxy embedded in a hydrocolloid matrix (Dupli-Coe-Loid TM; GC America Inc., Alsip, IL, USA), encased in an acrylic resin cylinder assembly. An Alphard Vega Dental CT system (Asahi Roentgen Ind. Co., Ltd, Kyoto, Japan) was used to acquire CBCT images. OnDemand 3D (CyberMed Inc., Seoul, Korea) software was used for object segmentation and image analysis. The accuracy was expressed by the volume error (VE). The VE was calculated under 3 different exposure settings. The measured volumes of the objects were compared to the true volumes for statistical analysis. Results: The mean VE ranged from -4.47% to 2.35%. There was no significant relationship between an object's shape and the VE. A significant correlation was found between the distance of the object to the center of the image and the VE. Tube voltage affected the volume measurements and the VE, but tube current did not. Conclusion: The evaluated CBCT device provided satisfactory volume measurements. To assess volume measurements, it might be sufficient to use serial scans with a high resolution, but a low dose. This information may provide useful guidance for assessing volume measurements.

• Clinical and Experimental Pediatrics
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• v.49 no.2
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• pp.208-211
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• 2006

Dyke-Davidoff-Masson Syndrome (DDMS) is a rare condition characterized by asymmetry of cerebral hemispheric growth with atrophy on one side, ipsilateral compensatory osseous hypertrophy, and contralateral hemiparesis. We experienced a 17 month-old male who presented with left focal clonic or tonic-clonic seizures accompanied by left hemiparesis and developmental delay. Brain MRIs demonstrated progressive atrophy of the right cerebral hemisphere with dilatation of the lateral ventricle, expansion of the ipsilateral frontal sinus with calvarial thickening, and elevation of the petrous pyramid and orbital roof. Brain SPECT showed a decreased volume of the right hemisphere with reduced blood flow. We therefore report a case of DDMS with a review of the literature.