• Journal of KIBIM
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• v.8 no.1
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• pp.15-23
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• 2018

Geometry control of precast members is the most important technology for modular construction. In this paper, image-based modeling and rendering (IBMR) technology was adopted for 3D modeling of precast elements. It is necessary to use match-casting method for precast post-tensioned column assembly. Preassembly using 3D models created by image processing can minimize construction error. Augmented reality devices are used to check the geometry of the segment. Laboratory-scale tests were performed. The proposed process has been applied to the real precast bridge pier segments.

• Composites Research
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• v.36 no.6
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• pp.395-401
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• 2023

In this study, finite element modeling of unidirectional composite materials of the computed tomography (CT) was conducted using a supervised learning-based segmentation technique. Firstly, Micro-CT scan was performed to obtain the raw volume of unidirectional composite materials, providing microstructure information. From the CT volume images, actual microstructure of the cross-section of unidirectional composite materials was extracted by the labeling process. Then, a U-net deep learning model was trained with a small number of raw images as inputs and their labeled images as outputs to generate a segmentation model. Subsequently, most of remaining images were input to the trained U-net deep learning model to segment all raw volume for identifying complex microstructure, which was used for the generation of finite element model. Finally, the fiber volume fraction of the finite element model was compared with that of experimentally measured volume to validate the appropriateness of the proposed method.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.1-6
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• 2018

With the increase of the elderly population, demand for improvement of quality of life and measurement of mental state has increased. However, much of the self-reported diagnosis does not reflect cognitive impairment. This study aims to measure the dwelling depression by applying K-HTP and verify the validity. 301 persons over 65 years old who live as single and couple households in Daejeon and surrounding districts were surveyed during 22 January to 2 February, 2018. The correlations between the dwelling depression and K-HTP are clarified and the validity was evaluated. The correlations between the geriatric dwelling depression index(GDDI) and the GDDI based on K-HTP(GDDI-K) are clarified and the accuracy was analyzed. The results showed that the K-HTP can be utilized to measure the dwelling depression. We suggested a new measurement tool and provide further benefits for researches on diagnoses using the projective method.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.119-147
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• 2007

Actually a diffusion of a semantic web application and utilization are situations insufficient extremely. Technology most important in semantic web application is construction of the ontology which contents itself with characteristics of semantic web. Proposed a suitable a method of building web ontology for characteristics or semantic web and web ontology as we compared the existing ontology construction ana ontology construction techniques proposed for web ontology construction, and we analyzed. And modeling old ontology to bases to description logic and the any axiom rule that used an expression way of SWRL, and established inference-based web ontology according to proposed ways. Verified performance of ontology established through ontology inference experiment. Also established an web ontology-based intelligence image retrieval system, to experiment systems for performance evaluation of established web ontology, and present an example of implementation of a semantic web application and utilization. Demonstrated excellence of a semantic web application to be based on ontology through inference experiment of an experiment system.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.581-587
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• 2023

During the global pandemic period, The world has created a new paradigm using digital technology, aligning one direction with the highest value of life and survival. Untact has changed from a convenience value to an essential value with quarantine and sanitation. And the industry process has shifted from face-to-face to non-face-to-face. The platform formed an community in a virtual space, and companies started a new service based on presence. For a sense of reality, information is expressed and stored from 2D centered on images to 3D multifaceted. Companies are marketing using 3D modeling, focusing on augmented reality, virtual world, and mirror world of Metaverses. The purpose of this study is to analyze the current status and examples of 3D modeling in the E-commerce environment of domestic and foreign jewelry brands in this era of change, and present ways to use 3D modeling in jewelry industries.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.6
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• pp.533-539
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• 2009

In this study, the femur, the tibia, the articular cartilage and the menisci are three dimensionally reconstructed using MR images of healthy knee joint in full extension of 26-year-old male. Three dimensional finite element model of the knee joint is fabricated on the reconstructed model. Also, the FE models of ligaments and tendons are attached on the biologically suitable position of the FE model. Bones, articular cartilages and menisci are considered as homogeneous, isotropic and linear elastic materials, and ligaments and tendons are modeled as truss element and nonlinear elastic springs. The numerical results show the contact pressure and the von Mises stress distribution in the soft tissues such as articular cartilages and menisci which can be regarded as important parameters to estimate the failure of the tissues and the pain of the patients.

• Journal of Advanced Navigation Technology
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• v.22 no.6
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• pp.670-674
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• 2018

Social network service (SNS) related data including comments/text, images, videos, blogs, and user experiences contain a wealth of information which can be used to build recommendation systems for various clients' and provide insightful data/results to business analysts. Multimedia data, especially visual data like image and videos are the richest source of SNS data which can reflect particular region, and cultures values/interests, form a gigantic portion of the overall data. Mining such huge amounts of data for extracting actionable intelligence require efficient and smart data analysis methods. The purpose of this paper is to focus on this particular modality for devising ways to model, index, and retrieve data as and when desired.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.476-478
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• 2018

현대 사회의 발전으로 인해 사람들의 삶의 질이 향상됨에 따라 사람들은 다양한 방식으로 자신 및 자신의 개성을 표출하려는 시도를 한다. 특히 IT 기술의 발전은 가상현실 및 3D 기술의 성장을 이끌어냈다. 본 논문은 다가올 4차 산업혁명에 발맞추어 사용자의 개성을 표출할 실용적이고 개성 있는 3D 모델링 아이디어를 제안하고자 한다. 스마트폰 사진 촬영과 동시에 사용자가 선택한 다른 캐릭터 사진과의 합성 사진을 Convolutional Neural Network (CNN)과 Generative Adversarial Network (GAN) 기반 딥러닝 기술을 통해 생성한다. 생성된 이미지는 사용자의 모습과 합성의 대상이 되는 캐릭터의 모습을 동시에 담고 있다. 본 연구의 결과물로 생성된 합성 사진을 3D 프린터를 이용하여 자신만의 모습이 담긴 굿즈를 생산 혹은 이모티콘을 생성하는 등 다양한 실용적인 응용분야에 적용 가능하다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.97-99
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• 2021

As the aging society continues in recent years, interest in dementia is increasing. Among them, Alzheimer's disease is a degenerative brain disease that accounts for the largest percentage of all dementia patients, with the medical community currently not offering clear prevention and treatment for Alzheimer's disease, and the importance of early treatment and early prevention is emphasized. In this paper, we intend to find the most efficient activation function by combining various activation functions centering on convolutional neural networks using MRI datasets of normal people and patients with Alzheimer's disease. In addition, it is intended to be used as a dementia classification modeling suitable for the medical field in the future through Alzheimer's dementia classification modeling.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.507-512
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• 2011

Recently, various new devices have been introduced, which are capable of quickly measuring river hydrodynamic and morphologic features in the very broad riverine area. These devices are changing paradigm of understanding river characteristics in terms of data-driven aspect rather than the conventional numerical modeling approaches based on the limited field observations. This paper demonstrates the representative features and applications of the several recent riverine devices such as ADCP, LSPIV, MBES and ABL. In addition, the paper introduces an example of river information system that incorporates and relates such two- and three-dimensional hydrodynamic and morphologic data on top of geographic information system, where their spatio-temporal variations are also able to be tracked.