• Journal of Information Management
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• v.42 no.3
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• pp.117-145
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• 2011

This research tries to develop standards of library goods and managerial guidance. It is developed to make buying and managing library goods efficient in promoting environmental and digital-friendly library, and to set a standard guidance of library goods. The research divides 117 library goods into 6 categories, and develops a table of recommended standard and managerial guidance of library goods. The table has 11 indicators of information, which includes the name of each library goods, classification code, identification number of 'Narajangteo', definitions of the goods, purpose and usage, type and size, structure, place to install, goods management, and note. The research hopes to be reflected in library related laws, standards, and manuals, and finally to standardize library goods in the national level.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.463-468
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• 2022

COVID-19 is a complex disaster, not an infectious disease-level disaster, and it is difficult to respond with the existing disaster response management method. As a result, experiencing psychological stress and trauma such as 'Corona Blue' has emerged as a new social problem. This study examined the changes in non-face-to-face counseling services using ICT technology and the application cases of image, AI, and VR by companies as the transition to the digital economy accelerates. Based on this, disaster psychological recovery support services were considered to improve the psychological recovery and quality of life of the people after a disaster by establishing a more efficient counseling system and developing counseling services using ICT technology.

• Archives of design research
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• v.19 no.5 s.67
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• pp.293-302
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• 2006

Since the late 20C, the development of informative electronic technology has expanded human beings' spatial recognition from three-dimension into multi-dimension. Also space has formed mutual organic relation with the human being, since they started having the image responding ability of experience and recognition. The mutual organic relation has appeared in exhibition space aggressively introduced informative electronic technology from existing physical space. Therefore, m carried out a compartive study into the status of exhibition facilities and the form of interaction focusing on exhibition facilities as a medium of interaction between information and users in experiential exhibition space to which informative electronic technology had been introduced. The ultimate purpose of the study was that the phenomena, which had been anticipated from happenings in mutual organic relation between human beings and space, was reflected on space as a place of various communication activities. Hereafter, researches and studies on further exhibition should be continued to clarify the mutual relationship between exhibition space and user trends not only through exhibition space but also through the study of user trends that are changing everyday.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.82-98
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• 2019

The importance of spatial information is rapidly rising. In particular, 3D spatial information construction and modeling for Real World Objects, such as smart cities and digital twins, has become an important core technology. The constructed 3D spatial information is used in various fields such as land management, landscape analysis, environment and welfare service. Three-dimensional modeling with image has the hig visibility and reality of objects by generating texturing. However, some texturing might have occlusion area inevitably generated due to physical deposits such as roadside trees, adjacent objects, vehicles, banners, etc. at the time of acquiring image Such occlusion area is a major cause of the deterioration of reality and accuracy of the constructed 3D modeling. Various studies have been conducted to solve the occlusion area. Recently the researches of deep learning algorithm have been conducted for detecting and resolving the occlusion area. For deep learning algorithm, sufficient training data is required, and the collected training data quality directly affects the performance and the result of the deep learning. Therefore, this study analyzed the ability of detecting the occlusion area of the image using various image quality to verify the performance and the result of deep learning according to the quality of the learning data. An image containing an object that causes occlusion is generated for each artificial and quantified image quality and applied to the implemented deep learning algorithm. The study found that the image quality for adjusting brightness was lower at 0.56 detection ratio for brighter images and that the image quality for pixel size and artificial noise control decreased rapidly from images adjusted from the main image to the middle level. In the F-measure performance evaluation method, the change in noise-controlled image resolution was the highest at 0.53 points. The ability to detect occlusion zones by image quality will be used as a valuable criterion for actual application of deep learning in the future. In the acquiring image, it is expected to contribute a lot to the practical application of deep learning by providing a certain level of image acquisition.

• Journal of Digital Convergence
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• v.21 no.3
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• pp.49-62
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• 2023

Due to social and cultural changes and the growth of aging people living as a single because of aging, lonely deaths are steadily increasing, and each local government has begun to define them as a social problem. The legal basis began to be established. In order to explore policy measures to prevent lonely deaths, this study examined cases of lonely death prevention policies using smart digital information technology (AI, IOT), which is being promoted by Daegu Metropolitan City to promote non-face-to-face policies to prevent lonely deaths. Policies related to lonely deaths are divided into two axes: lonely death prevention projects and post-excavation support projects. In order to operate these businesses efficiently, the provision of non-face-to-face services through artificial intelligence and the Internet of Things is recognized as a new service delivery system, so the importance and necessity of non-face-to-face services is increasing. It is time that multifaceted changes and preparations are needed, such as establishing a system to expand the non-face-to-face industry at the national level. In order to respond to another national disaster situation in the future, the non-face-to-face smart care system is being expanded in various welfare policies such as preventing lonely deaths. It will have to be activated.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.17-26
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• 2023

The integrated underground space map is a three-dimensional map that integrates 16 types, including 7 types of underground facilities, 6 types of underground structures, and 3 types of ground. In order to systematically construct, manage, and utilize the integrated underground space map, it was institutionalized as the "Special Act on Underground Safety Management," and the "Underground Space Integrated Map Production Work Regulations" was prepared as detailed work regulations. However, there is a lack of institutional mechanisms to develop new technologies such as the completed book submission system for submitting change information and automation technology for updating the integrated underground spatial map and to expand the usability of the integrated underground spatial map. Accordingly, this study examined the current status of the integrated underground space map and attempted to suggest a direction for improving the current system through a revision plan and detailed operation management regulations (draft) of the Special Act on Underground Safety Management.

• Conservation Science in Museum
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• v.20
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• pp.77-92
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• 2018

A stone seated bodhisattva (Sinsu5971) was discovered in Pyeongchang-gun, Gangwon-do in 1974 and was transferred to the Chuncheon National Museum upon its opening in 2002. The statue had damage to wide areas and was thus difficult to restore. This study utilized 3D scanning and 3D printing technologies to identify the overall form of the statue and the degree of damage, which allowed the restoration of lost portions that otherwise could not have been accurately restored to their original shape. Prior to the conservation treatment, the pigments used to decorate the surface were investigated using an optical microscope, and their main components were analyzed with a p-XRF (Potable X-ray Fluorescence Analyzer). The deteriorated lacquered surface was stabilized using animal glue and consolidated with stone strengthener (OH-100). The investigation found that the surface of the statue was made of zeolite that was lacquered and then gilded. As for pigments, white lead was used for the white color and red lead and cinnabar were used for red. The lost portions were redesigned by mirroring the remaining parts with 3D technologies. However, it was difficult to affix the 3D printing outputs to the statue without visible gaps since the damaged parts suffered flection. The portions of the outputs to be connected to the statue were thus modified and supplemented. It was also difficult to collect data on the properties of 3D printing materials due to the lack of previous in-depth study. These obstacles are subjects for further study.

• Journal of Broadcast Engineering
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• v.17 no.5
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• pp.827-837
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• 2012

As broadcasting environments change rapidly to digital, user requirements for next-generation broadcasting service which surpass current HDTV service become bigger and bigger. The next-generation broadcasting service progress from 2D to 3D, from HD to UHD and from 5.1ch audio to more than 10ch audio for high quality realistic broadcasting service. In this paper, we propose 10.2ch based multichannel audio reproduction system for UHDTV. The 10.2ch-based audio reproduction system add two side loudspeakers to enhance the surround sound localization effect and add two height and one ceiling loudspeakers to enhance the elevation localization effect. To evaluate the proposed system, we used APM(Auditory Process Model) for objective localization test and conducted subjective localization test. As a result of objective/subjective localization test, the proposed system shows the statistically same performance compare with 22.2ch audio system and shows the significantly better performance compared with 5.1ch audio system.

• Journal of KIISE:Databases
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• v.31 no.5
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• pp.479-491
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• 2004

Location information of mobile objects is applied to vehicle tracking, digital battlefields, location based services, and telematics. Their location coordinates are periodically measured and stored in the application systems. The linear function is mainly used to estimate the location information that is not in the system at the query time point. However, a new method is needed to improve uncertainties of the location representation, because the location estimation by linear function induces the estimation error. This paper proposes an application method of the cubic spline interpolation in order to reduce deviation of the location estimation by linear function. First, we define location information of the mobile object moving on the two-dimensional space. Next, we apply the cubic spline interpolation to location estimation of the proposed data model and describe algorithm of the estimation operation. Finally, the precision of this estimation operation model is experimented. The experimentation comes out more accurate results than the method by linear function, although the proposed location estimation function uses the small amount of information. The proposed method has an advantage that drops the cost of data storage space and communication for the management of location information of the mobile objects.

• Journal of Broadcast Engineering
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• v.25 no.5
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• pp.798-807
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• 2020

As technologies using digital camera have been developed, 3D images can be constructed from the pictures captured by using multiple cameras. The 3D image data is represented in a form of point cloud which consists of 3D coordinate of the data and the related attributes. Various techniques have been proposed to construct the point cloud data. Among them, Structure-from-Motion (SfM) and Multi-view Stereo (MVS) are examples of the image-based technologies in this field. Based on the conventional research, the point cloud data generated from SfM and MVS may be sparse because the depth information may be incorrect and some data have been removed. In this paper, we propose an efficient algorithm to enhance the point cloud so that the density of the generated point cloud increases. Simulation results show that the proposed algorithm outperforms the conventional algorithms objectively and subjectively.