• Journal of the Korea Institute of Building Construction
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• v.18 no.5
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• pp.471-477
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• 2018

The purpose of this study is to develop an mobile augmented reality for students to learn bar placing work, which is increasingly utilized in the construction field. In order to improve the understanding of the structural drawing, a structural drawing is used as a marker image, and an augmented reality is realized by superimposing a virtual 3D bar placing model that is placed according to the structural drawing on the screen. In addition to the 3D modeling, the contents are developed so as to help students to learn the interpretation method of 2D drawings, the development and splices of reinforcing steel, bar fabricating practice according to KCI structural concrete design code, and the process of bar placing. The results show that the augmented reality is positively evaluated in terms of interface style, perceived usefulness, perceived ease of use, perceived enjoyment, attitude toward using, and intention to use. The augmented reality is worth to be introduced because it has advantages of visualization and interaction in terms of education.

• Land and Housing Review
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• v.11 no.3
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• pp.93-101
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• 2020

Recently, as a BIM-based construction simulation system, 4D CAD tools using virtual reality (VR) objects are being applied in construction project. In such a system, since the expression of the object is based on VR image, it has a sense of separation from the real environment, thus limiting the use of field engineers. For this reason, there are increasing cases of applying augmented reality (AR) technology to reduce the sense of separation from the field and express realistic VR objects. This study attempts to develop a methodology and BIM module for the pre-construction verification system using AR technology to increase the practical utility of VR-based BIM objects. To this end, authors develop an AR-based drawing verification function and drawing object-based 4D model augmentation function that can increase the practical utility of 2D drawings, and verify the applicability of the system by performing case analysis. Since VR object-based image has a problem of low realism to field engineers, the linking technology between AR object and 4D model is expected to contribute to the expansion of the use of 4D CADsystem in the construction project.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.544-546
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• 2011

The popularization and development of 3D display makes common users easy to experience a solid 3D virtual reality, the demand for virtual reality contents are increasing. This paper proposes VR panorama system using vanishing point location-based depth map generation method. VR panorama using depth map gives an effect that makes users feel staying at real place and looking around nearby circumstances.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.4
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• pp.41-49
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• 2020

The purpose of this study was to investigate the use of the Deep Neural Networks(DNN) model to classify user's emotions, in particular Electroencephalography(EEG) toward Virtual-Reality(VR) based 3D design alternatives. Four different types of VR Space were constructed to measure a user's emotion and EEG was measured for each stimulus. In addition to the quantitative evaluation based on EEG data, a questionnaire was conducted to qualitatively check whether there is a difference between VR stimuli. As a result, there is a significant difference between plan types according to the normalized ranking method. Therefore, the value of the subjective questionnaire was used as labeling data and collected EEG data was used for a feature value in the DNN model. Google TensorFlow was used to build and train the model. The accuracy of the developed model was 98.9%, which is higher than in previous studies. This indicates that there is a possibility of VR and Fast Fourier Transform(FFT) processing would affect the accuracy of the model, which means that it is possible to classify a user's emotions toward VR based 3D design alternatives by measuring the EEG with this model.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.11a
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• pp.64-65
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• 2003

• Journal of the Korea Computer Graphics Society
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• v.2 no.2
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• pp.37-44
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• 1996

Networked virtual reality systems provide a consistent virtual world to the users, possibly distributed across long distances, and have been widely applied in the military, entertainment, and architectural areas. Large processing requirements, however, made these systems be mainly researched on the platforms of high-performance graphics workstations. This paper presents several problems when networked virtual reality systems are implemented on commodity PCs: two problems related with 3D graphical processing, and the other related with network bandwidth and transmission delay. We also suggest solutions to these problems and analyze their performance effect based on an architectural simulation application.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.483-490
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• 2021

In this paper, we proposed the development of a smart factory intergrated technology education platform using smart factory based CPPS (Cyber Physical Production System) and VR (Vitrual Reality) technology and educational methods using the platform. A platform has been developed to learn how to integrate 3D digital twin and BOP (Bill of Process)-based manufacturing processes. In addition, Digital Twin established a smart factory-based integrated education platform by linking mechanical systems, digital twins, and virtual reality through the OPC-UA server. Based on this platform, the smart factory integration platform is proposed to have individual elements of the smart factory integration platform through BOP-based digital twin simulation, OPC-UA integration, MES system, SCADA system, and VR interworking.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.719-729
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• 2016

This study is analyzed by comparing the evaluation of usability and study achievement for simulation learning based on Web 3D and VR and it is aimed to verify the characteristics of the virtual reality through a difference in studying effect between each learning method. Therefore, this study is analyzed by comparing the evaluation of usability and study achievement for the CSI Forensics Lab simulation content that has been developed in two learning methods for scientific experiments of DNA analysis with the 75 university students of Life Science as a population(Web 3D=37, VR=38). The results of the study, in usability of user task action, exploratory and navigation, Web 3D simulation learning was positive in a significant difference, but in usability of satisfaction, VR simulation learning was positive in a significant difference. In study achievement, Web 3D simulation learning was slightly higher but did not confirm the significant differences between both of learning.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.4
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• pp.47-52
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• 2010

This paper describes a visualization technique that animates geometrical defect data that are extracted using a magnetic flux leakage (MFL) operating system on nondestructive evaluation (NDE). Since data are collected from different locations and often not regular, the data must be converted to the standard format that is used within the pipeline in visualization procedures. In order to navigate inside of the pipeline, 3D virtual objects are generated and are able to explore the pipeline continuously. The major objectives of this paper are to characterize, generate general shape of defects, and enable computer interaction in virtual environment. Pipeline navigation system (PNS) has introduced the framework for interactive visual applications based upon the principles of modeling 3D objects. PNS presents some preliminary efforts to enable the user to interact human and computer with each other.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.33-43
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• 2020

Retrieving a 3D model from a 3D database and augmenting the retrieved model in the Augmented Reality system simultaneously became an issue in developing the plausible AR environments in a convenient fashion. It is considered that the sketch-based 3D object retrieval is an intuitive way for searching 3D objects based on human-drawn sketches as query. In this paper, we propose a novel deep learning based approach of retrieving a sketch-based 3D object as for an Augmented Reality Model. For this work, we introduce a new method which uses Sketch CNN, Wasserstein CNN and Wasserstein center loss for retrieving a sketch-based 3D object. Especially, Wasserstein center loss is used for learning the center of each object category and reducing the Wasserstein distance between center and features of the same category. The proposed 3D object retrieval and augmentation consist of three major steps as follows. Firstly, Wasserstein CNN extracts 2D images taken from various directions of 3D object using CNN, and extracts features of 3D data by computing the Wasserstein barycenters of features of each image. Secondly, the features of the sketch are extracted using a separate Sketch CNN. Finally, we adopt sketch-based object matching method to localize the natural marker of the images to register a 3D virtual object in AR system. Using the detected marker, the retrieved 3D virtual object is augmented in AR system automatically. By the experiments, we prove that the proposed method is efficiency for retrieving and augmenting objects.