• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2001.11b
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• pp.209-212
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• 2001

본 논문은 기존의 MPEG-4 시스템을 기반으로 양안식 3차원 동영상을 효율적으로 처리하기 위하여 부호화된 기초스트림을 다중화 하는 처리 모듈과 싱크 패킷 헤더부에 3차원 동영상 데이터 처리를 위해 요구되는 헤더정보를 포함하는 확장 MPEG-4 시스템을 제안한다. 제안하는 시스템은 기존 2차원 동영상 처리와 호환성을 유지하면서 3차원 동영상의 디스플레이 방식 및 사용자 시스템 환경에 적합한 데이터만을 선택적으로 전송함으로써, 전송 효율 및 디코딩 속도를 향상시킨다.

• The Mathematical Education
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• v.60 no.4
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• pp.467-491
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• 2021

This study is a study on the coding mathematics curriculum that converges elementary and middle school mathematics and information subjects and a minimum coding game-based education method for this. For the past 3 years, the coding mathematics curriculum and educational methods to effectively operate the curriculum were studied by applying them to 6th graders of elementary school and 1st graders of middle school. As a result of the first year of research, the coding mathematics curriculum was modified to a coding environment including the mathematical concept of a three-dimensional coordinate space, and the three-dimensional object was improved to be output as a real 3D print. As a result of the 2nd year study, it was improved so that even low-level students can build buildings by introducing different level commands for each component of the building so that self-directed learning is possible. As a result of the 3rd year study, a teaching-learning strategy based on a minimal coding game was designed to induce an increase in the level of computational thinking, and evaluation and feedback for diagnosing computational thinking were developed. Educational methods to promote self-directed learning and computing thinking ability, and researched coding mathematics curriculum are meaningful for the research and practice of the convergence education of school mathematics and informatics.

• Journal of Broadcast Engineering
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• v.14 no.6
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• pp.703-720
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• 2009

This paper proposes a realistic multi-view scalable video coding scheme designed for user's interest in 3D content services and the usage in the future computing environment. Future video coding schemes should support realistic services that make users feel the 3-D presence through stereoscopic or multi-view videos, as well as to accomplish the so-called one-source multi-use services in order to comprehensively support diverse transmission environments and terminals. Unlike the most of video coding methods which only support two-dimensional display, the proposed coding scheme in this paper is the method which can support such realistic services. This paper designs and also implements the proposed coding scheme through integrating Multi-view Video Coding scheme and Scalable Video Coding scheme, then shows its possibility of realization of 3D services by the simulation. The simulation results show the proposed structure remarkably improves the performance of random access with almost the same coding efficiency.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.288-293
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• 2022

Recently, metaverse is becoming increasingly important in coding education. One of the most important elements in metaverse is interaction in 3D virtual space. However, most existing education methods still utilize metaverse for unidirectional education without making use of interaction. This paper proposes a new method of using metaverse for bidirectional coding education. In the metaverse virtual space, a professor and students are able to share their PC screens for monitoring purposes. Also, once a student sends a request to the professor, the professor can immediately provide proper feedback (such as source codes correction) through access control. This metaverse virtual space is able to include more than two professors that allows for a many-to-many coding education. This paper presents a way of constructing the metaverse environment and teaching scenario, followed by the descriptions of the advantages and requirements for the proposed method.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.606-608
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• 1998

가상환경기술이 여러 분야에서 보편화되고 활용되기 시작하면서 컴퓨터 프로그래밍기술이 없어도 가상환경을 손쉽게 꾸밀 수 있는 저작기술이 필요하게 되었다. 본 논문에서는 가상환경 저작용 시각 언어인 Virtual Environment Specification Language(VESL)를 사용하여 컴퓨터 프로그램 코딩을 하지 않아도 가상환경을 저작할 수 있는 기술을 구현하였다. 우리가 개발한 시각언어 편집기는 VESL을 기반으로 하여 3차원 가상환경을 구축하고 가상환경 내에 정의된 객체들의 물리적 속성을 정의하고 객체들간의 관계 및 유지를 명시함으로써 보다 현실감 있는 동적인 가상 환경을 손쉽게 저작할 수 있도록 하였다.

• Spatial Information Research
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• v.21 no.1
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• pp.87-100
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• 2013

Recently, the use of locational information is growing rapidly. GPS technology has been adopted generally for obtaining locational information in outdoor spaces. In the other hand, the researches on indoor positioning have been carried out applying WLAN, RFID or Bluetooth technology because of the multi-path interference of GPS signal caused by the physical obstacles such as walls or columns in buildings. However, such technologies for indoor positioning cost too much to build sensing infrastructure and compute-intensive processes are involved. Furthermore, the accuracy of location estimation is variable caused by interior structures in buildings. In this study, to make up for the limitations, descriptive data such as phone number, unique room numbers, or business names readily available in mixed-use buildings is used for extracting location information. Furthermore, during the process, a geocoding method using character matching is applied to this study enabling prompt location estimation and sublating the fluctuation of accuracy caused by interior structures. Based on the proposed method in this study, an architecture is designed, and three-dimensional viewer program is developed for the implementation of this study. Also, this research is quantitatively analyzed through match rate and processing time of proposed method.

• Tunnel and Underground Space
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• v.29 no.3
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• pp.184-196
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• 2019

This study aims to extract a 3D image of micro-cracks generated by hydraulic fracturing tests, using the deep learning method and X-ray computed tomography images. The pixel-level cracks are difficult to be detected via conventional image processing methods, such as global thresholding, canny edge detection, and the region growing method. Thus, the convolutional neural network-based encoder-decoder network is adapted to extract and analyze the micro-crack quantitatively. The number of training data can be acquired by dividing, rotating, and flipping images and the optimum combination for the image augmentation method is verified. Application of the optimal image augmentation method shows enhanced performance for not only the validation dataset but also the test dataset. In addition, the influence of the original number of training data to the performance of the deep learning-based neural network is confirmed, and it leads to succeed the pixel-level crack detection.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.417-424
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• 2019

This paper presents the design of a JPEG-LS codec for lossless image compression from AR/VR device. The proposed JPEG-LS(: LosSless) codec is mainly composed of a context modeling block, a context update block, a pixel prediction block, a prediction error coding block, a data packetizer block, and a memory block. All operations are organized in a fully pipelined architecture for real time image processing and the LOCO-I compression algorithm using improved 2D approach to compliant with the SBT coding. Compared with a similar study in JPEG-LS, the Block-RAM size of proposed STB-FLC architecture is reduced to 1/3 compact and the parallel design of the predication block could improved the processing speed.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.380-392
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• 2009

This study aims to understand what aspects among perceived environmental cues affect on satisfaction and behavior intention of visitors with the object of Gwangju Chungjang Festival 2008, which is a city festival. The survey was performed in the festival period, from October 7 through, 12 2008 with 300 visitors who finished the touring of the Festival. All the 300 questionnaires were returned, but only 270 out of 300 were used, except for the unfaithful responses, for the analysis. For statistical process of the collected data, frequency analysis, reliability analysis, factor analysis and multiple regression were performed by using SPSS 12.0 for Windows via the process of data coding. As the result, first, the factor, environmental cues of city festival were shown differently in three dimensions of satisfaction. In other words, 'food factor' is an important factor for festival satisfaction. Second, for re-visit intention, which is the consequence variable and behavior intention of satisfaction regarding the environmental cue factor, 'convenient facility factor' and 'accessibility and promotion factor' were significant and 'promotion and guidance factor' for the recommendation factor was significant. On the contrary, 'food factor' did not have significant impact. Third and finally, as the analysis result of impact of festival satisfaction on re-visit intention and recommendation intention, which are the behavior intentions, festival satisfaction was significant. This study aims suggestion of development strategies for Gwangju Chungjang Festival 2008. It is appropriate time for this study at the point of promoting city festivals. Also, suggestions in this study can help promotion of development direction.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.90-100
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• 2011

We present a parallel bi-conjugate gradient (Bi-CG) matrix solver for large scale Bio-FET simulations based on recent graphics processing units (GPUs) which can realize a large-scale parallel processing with very low cost. The proposed method is focused on solving the Poisson equation in a parallel way, which requires massive computational resources in not only semiconductor simulation, but also other various fields including computational fluid dynamics and heat transfer simulations. As a result, our solver is around 30 times faster than those with traditional methods based on single core CPU systems in solving the Possion equation in a 3D FDM (Finite Difference Method) scheme. The proposed method is implemented and tested based on NVIDIA's CUDA (Compute Unified Device Architecture) environment which enables general purpose parallel processing in GPUs. Unlike other similar GPU-based approaches which apply usually 32-bit single-precision floating point arithmetics, we use 64-bit double-precision operations for better convergence. Applications on the CUDA platform are rather easy to implement but very hard to get optimized performances. In this regard, we also discuss the optimization strategy of the proposed method.