• Journal of the Korea Society for Simulation
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• v.31 no.3
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• pp.35-44
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• 2022

In this study, we analyze and forecast quantum computer technology trends. Previous research has been mainly focused on application fields centered on technology for quantum computer technology trends analysis. Therefore, this paper analyzes important quantum computer technologies and performs future signal detection and prediction, for a more market driven technical analysis and prediction. As analyzing words used in news articles to identify rapidly changing market changes and public interest. This paper extends conference presentation of Cha & Chang (2022). The research is conducted by collecting domestic news articles from 2019 to 2021. First, we organize the main keywords through text mining. Next, we explore future quantum computer technologies through analysis of Term Frequency - Inverse Document Frequency(TF-IDF), Key Issue Map(KIM), and Key Emergence Map (KEM). Finally, the relationship between future technologies and supply and demand is identified through random forests, decision trees, and correlation analysis. As results of the study, the interest in artificial intelligence was the highest in frequency analysis, keyword diffusion and visibility analysis. In terms of cyber-security, the rate of mention in news articles is getting overwhelmingly higher than that of other technologies. Quantum communication, resistant cryptography, and augmented reality also showed a high rate of increase in interest. These results show that the expectation is high for applying trend technology in the market. The results of this study can be applied to identifying areas of interest in the quantum computer market and establishing a response system related to technology investment.

• Architectural research
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• v.17 no.4
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• pp.117-126
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• 2015

University residence halls have become one of the most important issues for students when selecting their academic institutions. However, in South Korea, while universities maintain technologically up-to-date facilities, when it comes to safety or security, the management is unsatisfactory. As a result, the number of violent crime has been increasing. However, there are few researches in terms of practical validity of CPTED Guidelines even though a myriad of researchers study about CPTED Guidelines. Therefore, this study endeavours to investigate the validity of theoretical CPTED Guidelines that to what extent it might be adopted for design process. As a methodology, Space Syntax Convex map and Visibility Graph Analysis (VGA) are chosen. As a result, since the types of space which have a high level of Space Syntax Index are analogous with space treated on CPTED Guidelines, it roughly shows that the theoretical CPTED Guidelines could be adopted in practical architectural design process. Furthermore, it reveals that there is a close relationship between detail design guide stated in CPTED Guidelines and the result of VGA. That is, through the analysis, it is proved that the validity of CPTED Guidelines is quite enough to be adopted in practical design process.

• Korean Journal of Computational Design and Engineering
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• v.6 no.2
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• pp.101-110
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• 2001

The maximum intersection of spherical convex polygons are to find spherical regions owned by the maximum number of the polygons, which is applicable for determining the feasibility in manufacturing problems such mould design and numerical controlled machining. In this paper, an efficient method for partitioning a sphere with the polygons into faces is presented for the maximum intersection. The maximum intersection is determined by examining the ownerships of partitioned faces, which represent how many polygons contain the faces. We take the approach of edge-based partition, in which, rather than the ownerships of faces, those of their edges are manipulated as the sphere is partitioned incrementally by each of the polygons. Finally, gathering the split edges with the maximum number of ownerships as the form of discrete data, we approximately obtain the centroids of all solution faces without constructing their boundaries. Our approach is analyzed to have an efficient time complexity Ο(nv), where n and v, respectively, are the numbers of polygons and all vertices. Futhermore, it is practical from the view of implementation since it can compute numerical values robustly and deal with all degenerate cases.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.10
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• pp.53-58
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• 1999

Even I the Electronic Speckle Pattern Interferometry(ESPI) method that measure the strain of object within wavelength of light is less visibility than Holographic Interferometry(HI) method, the merits of application, convenience and time-save have made the method practical in industry. However, the existing ESPI methods that are based on dual-exposure, real-time and time-average method have difficulties for accurate measurement, due to irregular intensity and shake of phase. Recently, in order to solve this problem, phase shifting method have been proposed. In this method, the path of reference light in interference is shifted to make improvement in distinction and precision. But this method includes too many noise, caused by the problem of relationship between object and phase. Therefore, a method to reduce noise muse be introduced. In this paper, least square fitting method is proposed. As results, the phase-map is influenced by precise phase shifting and current of notes and speckle pattern obtained by phase shifting method is improved on the existing method driven from time-average method.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.77-83
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• 2010

Recently, IT-based environment is changing rapidly as changing in web services platform, evolution of cloud computing environments and expanding the base of a smart market. Accordingly, monitoring development of environment is changing quickly. So a customizable SaaS-based monitoring tool is required to provide monitoring services. It has to support a variety of environmental monitoring and a resource managers with requested information, and by an enhanced monitoring framework in clouding environment of management system. In this paper, the 3D viewer for the management of sensor node management system was designed and built. Through the 3D viewer by enhancing the accessibility and visibility, the sensor network will allow resources to be used efficiently.

• Korean Institute of Interior Design Journal
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• v.16 no.6
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• pp.197-204
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• 2007

In the spatial configuration of room-to-room art museums, openings and walls are important physical factors, and openings are a medium for connecting spaces. Also, by spatially composing walls and openings, spaces can be connected visually and physically, and movements and directions may vary depending on the location or size of walls and openings. In this study, 5 museums are investigated: Sainsbury Wing in London, Gemaldegalerie In Berlin, Alte Pinakotkek in Munich, Neue Pinakothek in Munich, and Staatsgalerie Stuttgart in Stuttgart. Using DepthMap program, the characteristics of visual-spatial composition of each museum are derived by comparing the Connectivity, Visual integration, and Isovist maximum radial. From an analysis of spatial distribution, a relationship with visibility is investigated. The results of this study showed that the combination of visual axial lines affect the spatial configuration of the room-to-room museums. Depending on the location of opening, the museums can be classified as follows: 1) Museums with the 1st visual axial line and the 2nd and 3rd auxiliary visual axial lines ; 2) museums with several equal visual axial lines; and 3) museums with only center axial line.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.1
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• pp.87-98
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• 2024

This study conducted an empirical study on the application of innovative teaching methods in the tourism field in a situation where innovative teaching methods suitable for the AI era are required. It was intended to provide exploratory basic data on the application of a wide range of innovative teaching methods through actual verification of the educational effectiveness before and after the application of the innovative teaching method. To this end, the effectiveness before and after education was empirically verified with 60 students who majored in tourism at Y University in the metropolitan area. Reliability analysis, corresponding sample t-test, and map analysis using graphs were performed on the collected data to increase visibility. As a result of the study, it was found that all the competencies of the innovative teaching method had a statistically significant influence after the application of the innovative teaching method. In addition, by increasing the effect of interaction between instructors and learners acting as facilitators, exploratory results were derived for potential benefits and areas that could be improved.

• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.283-295
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• 2023

With the development of sensor and satellite technology, numerous high-resolution and multi-spectral satellite images have been available. Due to their wavelength-dependent reflection, transmission, and scattering characteristics, multi-spectral satellite images can provide complementary information for earth observation. In particular, the short-wave infrared (SWIR) band can penetrate certain types of atmospheric aerosols from the benefit of the reduced Rayleigh scattering effect, which allows for a clearer view and more detailed information to be captured from hazed surfaces compared to the visible band. In this study, we proposed a multi-resolution transform-based image fusion method to combine visible and SWIR satellite images. The purpose of the fusion method is to generate a single integrated image that incorporates complementary information such as detailed background information from the visible band and land cover information in the haze region from the SWIR band. For this purpose, this study applied the Laplacian pyramid-based multi-resolution transform method, which is a representative image decomposition approach for image fusion. Additionally, we modified the multiresolution fusion method by combining a haze-guided weight map based on the prior knowledge that SWIR bands contain more information in pixels from the haze region. The proposed method was validated using very high-resolution satellite images from Worldview-3, containing multi-spectral visible and SWIR bands. The experimental data including hazed areas with limited visibility caused by smoke from wildfires was utilized to validate the penetration properties of the proposed fusion method. Both quantitative and visual evaluations were conducted using image quality assessment indices. The results showed that the bright features from the SWIR bands in the hazed areas were successfully fused into the integrated feature maps without any loss of detailed information from the visible bands.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.8
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• pp.667-675
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• 2013

This paper presents vision-based techniques for underwater landmark detection, map-based localization, and SLAM (Simultaneous Localization and Mapping) in structured underwater environments. A variety of underwater tasks require an underwater robot to be able to successfully perform autonomous navigation, but the available sensors for accurate localization are limited. A vision sensor among the available sensors is very useful for performing short range tasks, in spite of harsh underwater conditions including low visibility, noise, and large areas of featureless topography. To overcome these problems and to a utilize vision sensor for underwater localization, we propose a novel vision-based object detection technique to be applied to MCL (Monte Carlo Localization) and EKF (Extended Kalman Filter)-based SLAM algorithms. In the image processing step, a weighted correlation coefficient-based template matching and color-based image segmentation method are proposed to improve the conventional approach. In the localization step, in order to apply the landmark detection results to MCL and EKF-SLAM, dead-reckoning information and landmark detection results are used for prediction and update phases, respectively. The performance of the proposed technique is evaluated by experiments with an underwater robot platform in an indoor water tank and the results are discussed.

• Journal of Korea Spatial Information System Society
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• v.5 no.1 s.9
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• pp.83-89
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• 2003

The GIS which is analysis of the real world to construction of 3D virtual city develop s in rapid growth. 3D virtual city is simulated by use of a GIS, Computer graphics, virtual reality and Spatial database. In this paper 3D topographical basemap which have the geographic coordinate of world was constructed by digital map. And build the Cyber city with combining the building that have elevation and 3D topographical basemap. By using server/client system for the cyber city. 3D cyber city web service implemented. We proposed the hybrid base web service method rather than the image or vector base web service. By the spatial and attribute search in the 3D Cyber City, overcome the existing simple visibility of Web 3D technology, and exhibited development direction to the Web 3D GIS.