• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.733-738
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• 2020

It is really hard to find an infant's App, especially for the age under 5, even though there are lots of Apps developed and distributed nowadays. The selection of the proper infant's App is difficult since the infants' App should be useful, safe and helpful for the development of their intelligence. In this research, we design the useful infant's App for the development of their intelligence by applying the AI technology for increasing the learning effect in order to satisfy the characteristics of the infants' needs. A proposed App is the collection of interesting games for infants such as picture puzzle game, coloring shapes game, pasting stickers game, and fake mobile phone feature enables them to play interesting phone game. Furthermore, the proposed App is also designed to collect and analyze the log information generated while they are playing games, share and compare with other infants' log information to increase the learning effect. After then, it figures out and learns their game tendency, intelligibility, workmanship, and apply them to the next game in order to increase their interests and concentration of the game.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.3
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• pp.217-236
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• 2013

As the information needs in civil society is getting diverse, the interest in local policy process based on the characteristics of local communities, especially in local policy implementation is growing. However, research in library and information policy has focused rather on policy alternatives than policy process in Korea. In this study, we analyze the policy implementation in "the First Library in my Life" policy in Kyeonggi province with the framework of the Street-Level Bureaucracy Model by Michael Lipsky. In the analysis, we attempt to identify factors in the policy implementation, to examine the usefulness of the model into the situation of Korean library policy, and to suggest major considerations in the policy implementation in Korean public libraries for successful policy implementation. From the results, the usefulness of the model is examined and the need of considering indirect socio-economic factors is suggested.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1081-1094
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• 2016

KREONET is a principal national R&E network running by KISTI in Korea. It uniquely provides production research network services for around 200 non-profit research and educational organizations, based on hybrid (IP and non-IP) network infrastructure. However, KREONET is limited to meet various needs of new network services for advanced Science & Technology (S&T) users because its infrastructure is inherently derived form classical hardware-based, fixed and closed environments. So, KREONET-S is designed to provide advanced S&T services to catch up with time-to-research and time-to-collaboration. In this paper, we present a system architecture of KREONET-S based on network infrastructure that consists of data and control planes separately. Furthermore, we propose and describe VDN service which is capable of building a virtual dedicate & bandwidth-guaranteed network for S&T group dynamically. we implement VDN application on KREONET-S and then perform performance analysis for proving that KREONET-S system and VDN application can be a good solutions to cope with new network paradigms for various advanced S&T applications and users.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1293-1304
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• 2022

The personalization recommendation system means analyzing each individual's interests or preferences and recommending information or products accordingly. These personalized recommendations can reduce the time consumers spend searching for information by accessing the products they need more quickly, and companies can increase corporate profits by recommending appropriate products that meet their needs. In this study, products are recommended to consumers using collaborative filtering, matrix factorization, and deep learning, which are representative personalization recommendation techniques. To this end, the data set after purchasing shopping mall products, which is raw data, is pre-processed in the form of transmitting the data set to the input of the recommended system, and the pre-processed data set is analyzed from various angles. In addition, each model performs verification and performance comparison on the recommended results, and explores the model with optimal performance, suggesting which model should be used when building the recommendation system at the mall.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.375-390
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• 2021

Purpose: Most of cybersecurity breaches occur in SMEs. As the existing cybersecurity framework and certification system are mainly focused on financial and large companies, it is difficult for SMEs to utilize it due to lack of cybersecurity budget and manpower. So it is necessary to come up with measures to allow SMEs to voluntarily manage cyber risks. Method: After reviewing Cybersecurity market, cybersecurity items of financial institutions, cybersecurity framework comparison and cybersecurity incidents reported in the media, the criticality of cybersecurity items was analyzed through AHP analysis. And cybersecurity items of non-life insurers were also investigated and made a comparison between them. Result: Cyber risk management methods for SMEs were proposed for 20 major causes of cyber accidents. Conclusion: We hope that the cybersecurity risk assessment measures of SMEs in Korea will help them assess their risks when they sign up for cyber insurance, and that cyber risk assessment also needs to be linked to ERM standardization.

• Journal of KIBIM
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• v.12 no.4
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• pp.70-79
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• 2022

As BIM(Building Information Modeling) technology advances in architecture around the world, projects and industries using BIM are increasing. Unlike previous developments that were limited to buildings, BIM is now spreading to other fields such as civil engineering and electricity. In architecture, BIM is used in the entire process from design to maintenance of a building, and IFC(Industry Foundation Classes), a neutral format with interoperability, is used as an open BIM format. Since firefighting requires intuitive 3D models for evacuation and fire simulations, BIM models are desirable. However, due to the BIM model, which was developed centered on building objects, there are no objects and specific properties for fire evacuation in the IFC scheme. Therefore, in this study, when adding a new object in the firefighting area to the IFC schema, the IFC interoperability is not broken and the building WBS(Work Breakdown Structure) is analyzed with a hierarchical system similar to the IFC format to define the scope for a new object and the firefighting part within of the building WBS to derive a firefighting HBS(Hierarchy Breakdown Structure) with the extension of the object-oriented IFC file. And according to HBS, we propose an IFC schema extension method. It is a methodology that allows BIM users to instantly adapt the IFC schema to their needs. Accordingly, the methodology derived from this study is expected to be expanded in various areas to minimize information loss from IFC. In the future, we will apply the IFC extension methodology to the actual development process using HBS to verify that it is actually applicable within the IFC schema.

• Journal of architectural history
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• v.32 no.1
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• pp.73-88
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• 2023

Recently, local studies looking at the 'local(region) as a whole' are gradually increasing. The study of local architectural history is important in that it provides specific information that encompasses the local and the entire and clues to three-dimensionalize the time and space in the local. To infer the 'presentness' of each era, reliable data in various fields are needed. Recently, as many databases (DB) and archives, from the 'National Archives of Korea' to other local archives, have been established and publicized, research resources in the local are growing rapidly in quantity and quality. Nevertheless, it is difficult to comprehensively check the data necessary to study the local architectural history(local architectural history research resources). Against this background, this study confirmed the trend of changes in the archive construction environment and the status and problems of local architectural history research resources in places that currently disclose local history research resources among generalized web-archives. Next, the relationship between the actual research on local architectural history was confirmed through the analysis of existing studies and the data used for Jeju. As a result, local studies, local archives, and local architectural history research agree with recent changes in local research trends, and the degree of archival construction has reached the same level as the available research resources except core data in local architectural history research. However, there is a problem that the density of information that can be used is low because the local architectural history research resources that can be obtained are fragmented because there are no archives and construction entities specialized in local architecture. As each archive has entered the stabilization and upgrading stage, the construction of new archives needs to be reconsidered, but it is time to find a detailed way to link related information quickly and accurately, such as private records, to reduce the gap in information needed in terms of research on local architecture and architecture history.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.5
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• pp.801-811
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• 2023

With the cyber incidents increasing every year, opinions are being raised that legal system relating to incident reporting needs to be revised to improve the cyber incident reporting rate, etc. Accordingly, this paper suggests a legal improvement to enhance the effectiveness of cyber incident reporting. First, by analyzing domestic media coverage, this paper defines the problems which need to be improved regarding an incident reporting system as "unreported" and "not timely reporting". Then, this paper finds four requirements for legal improvement like "a reporting entity", "a starting point of reporting", "a reporting deadline" and "a protection of reporting information" by analyzing the relationship between reporting relating problems and issues published by overseas institutions and additionally by analyzing the need to revise the law. Finally, through an analysis of legislative cases, this paper suggests a legal improvement for the requirements.

• Information Systems Review
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• v.25 no.4
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• pp.67-87
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• 2023

Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.116-129
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• 2023

Recently, interest in autonomous driving has drawn attention to autonomous cooperative driving, which considers the development of driving technology of autonomous vehicles and the development of infrastructure that constitutes a driving environment. According to the concept of autonomous cooperative driving, This study analyzes the new infrastructure for autonomous driving that can complement the information of existing precise road maps and adding HD map layer as the new infrastructure. The new infrastructure for autonomous driving presented two types of improved facilities and one type of sensor only facility. Analysis of HD maps shows that information such as junction points rarely changes, but it is expected that infrastructure for autonomous driving can be added to convey the meaning of paying attention to obstacles that may arise at the junction. In this way, the new infrastructure for autonomous driving needs to support the roles of guidance, instruction, and attention that existing road facilities.