• Annual Conference of KIPS
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• 2001.10a
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• pp.93-96
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• 2001

객체지향 데이터베이스 보안모델은 객체지향 패러다임의 각 속성에 대한 보안정책을 정의한다. 객체지향 데이터베이스의 보안 목적은 데이터베이스에 대한 권한이 없는 사용자의 접근을 제어함으로써 정보의 고의적인 파괴나 변경을 방지하고, 우발적인 사고로부터 데이터를 보호하는 것이다. 일반적인 데이터베이스 보안모델은 임의접근제어(DAC)나 강제접근제어(MAC)를 이용하여 보안문제를 해결하였지만, 이 논물에서는 역할기반 접근제어를 객체지향 데이터베이스에 적용해서 보안문제를 해결한다. 따라서, 기존의 객체지향 데이터베이스의 보안속성과 보안정책에 기반한 주체, 객체, 접근모드들을 정의하였고, 개념적인 클래스를 설계해서 객체지향 데이터베이스의 보안모델을 제시하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.6
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• pp.31-45
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• 2004

Public Key Infrastructure(PKI) provides a strong authentication. Privilege Management Infrastructure(PMI) as a new technology can provide user's attribute information. The main function of PMI is to give more specified authority and role to user. To authenticate net and role, we have used digital signature. Role Based Access Control(RBAC) is implemented by digital signature. RBAC provides some flexibility for security management. NEIS(National Education Information System) can not always provide satisfied quality of security management. The main idea of the proposed RNEIS(Roll Based NEIS) is that user's role is stored in AC, access control decisions are driven by authentication policy and role. Security manager enables user to refer to the role stored in user's AC, admits access control and suggests DB encryption by digital signature.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.565-574
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• 2012

This study focuses on a consumer-based design process that overcomes practical drawbacks of the previously used design process. On the contrary of the existing method of attracting design attributes by designers' own insights, it present the PRETREE model that attracts the important design attributes of the products based on consumer preferences. The PRETREE model has the advantage that it does not require identifying design attributes a priori. For the wire-wireless telephones, this study presents the identifying process the important design attributes empirically using PRETREE Model. The PRETREE Model has been widely used in the fields of psychology, consumer science, economics and business administration. It might also be useful in the design field because it can identify the important design attributes objectively without designers' own insights.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.113-115
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• 2015

In this paper, we proposed an algorithm based on movement prediction using rate of change of the attribute information of nodes what is called WRC(Weighted Rate Control) in delay tolerant networks(DTNs). Existing DTN routing algorithms based on movement prediction communicate by selecting relay nodes increasing connectivity with destination node. Thus, because the mobile nodes are in flux, the prediction algorithms that do not reflect the newest attribute information of node decrease reliability. In this paper, proposed algorithm approximate speed and direction of attribute information of node and analysis rate of change of attribute information of node. Then, it predict movement path of node using proposed weight. As the result, proposed algorithm show that network overhead and transmission delay time decreased by predicting movement path of node.

• Management & Information Systems Review
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• v.32 no.3
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• pp.61-81
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• 2013

The sharp increase of number of the smartphone users has drawn the attention of both academia and industry. The objectives of this research is to seek for the answers of what is the most important and relatively important function from the point view of smartphone users through empirical analysis. The goal is to provide valuable information for the smartphone developing and manufacturing industry. To reach the results, AHP method is applied in this study. First of all, the questionnaire survey was prepared based on the respondent in the basis of the extraction of the smartphone functional attribute factors from the references. Then, the importance of the functional attribute was attained by the Expert Choice program. In addition, customers satisfaction of the functional attribute of the present smartphone was analyzed. Furthermore, the research results were presented by the inspiration and limitation practically.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.117-124
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• 2021

This study attempted to analyze the influence of mobile shopping motivation on the attributes and selection of beauty applications among consumers in their 20s, and the results found the following: First, mobile shopping motivation was classified into the categories of playfulness, convenience, and impulsiveness while beauty application attributes were divided into contents, community, and continuous management. Second, mobile shopping motivation was found to have a significant influence on selection of mobile beauty applications. Specifically, playfulness affected professional brands and beauty shopping mall apps, while impulsiveness revealed an effect on online shopping malls and beauty community apps. In addition, convenience showed an influence on TV home shopping apps. Third, mobile shopping motivation had a statistically significant effect on beauty application attributes. Specifically, playfulness, convenience, and impulsiveness revealed a statistically significant influence on contents, while playfulness also affected beauty communities. In addition, impulsiveness affected continuous management.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.95-111
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• 2021

This paper is a study to check the flow of how addiction to media services has been studied from a long-term perspective, and to identify variables that can be the basis for future addiction research. Researchers noted the addiction of media services in adolescents in particular, and identified a combination of factors depending on the background of the times. Addiction variables were largely aggregated into four properties: adolescent properties, personal properties, media properties, and media-dependent properties. Addiction variables belonging to the attribute were influenced by major media and divided into four periods. During the study period, the frequency of variables was most related to personal attributes, followed by media attributes, adolescent attributes, and media-dependent attributes. Also Individual attribute variables gradually shifted from object-relationship to individual psychological factors. Variants in media attributes were influenced by the introduction and spread of new media. Variations in adolescent and media-dependent attributes have been weak in studies that observe teenagers' motivations for media use or are related to addiction, and no papers have been published since 2020. Although addiction research on media services is important in terms of industry, there has been an emphasis on social aspects, based on the results of this study, we hope to continue to study the variables of service users who can be used in terms of industry.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.104-112
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• 2021

In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

• The KIPS Transactions:PartA
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• v.11A no.5
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• pp.365-372
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• 2004

Recently, the studies for mesh simplification have been increased according to the application area of the complicate 3D mesh models has been expanded. This paper introduces a novel method for mesh simplification which uses the properties of the mesh model in addition to the geometric locations of the model. The information of the 3D mesh model Includes surface properties such as color, texture, and curvature information as well as geometic information of the model. The most of current simplification methods adopt such geometric information and surface properties individually for mesh simplification. However, the proposed simplification method combines the geometric information and solace properties and applies them to the simplification process simultaneously. In this paper, we exploit the extended geometry based quadric error metric(QEM) which relatively allows fast and accurate geometric simplification of mesh. Thus, the proposed mesh simplification utilizes the quadric error metric based on geometric information and the surface properties such as color, normal, and texture. The proposed mesh simplification method can be expressed as a simple quadric equation which expands the quadric error metric based on geometric information by adding surface properties such as color, normal, and texture. From the experimental results, the simplification of the mesh model based on the proposed method shows the high fidelity to original model in some respects such as global appearance rather than using current geometry based simplification.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.29-40
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• 2024

Recently, the technology of autonomous driving, one of the core of the fourth industrial revolution, is developing, but sensor-based autonomous driving is showing limitations, such as accidents in unexpected situations, To compensate for this, HD-map is being used as a core infrastructure for autonomous driving, and interest in the public and private sectors is increasing, and various studies and technology developments are being conducted to secure the latest and accuracy of HD-map. Currently, NGII will be newly built in urban areas and major roads across the country, including the metropolitan area, where self-driving cars are expected to run, and is working to minimize data error rates through quality verification. Therefore, this study analyzes the spatial relationship of reference objects in the attribute structuring process for rapid and accurate renewal and production of HD-map under construction by NGII, By applying the attribute input automation methodology of the reference object in which spatial relations are established using the library of open source-based PyQGIS, target sites were selected for each road type, such as high-speed national highways, general national highways, and C-ITS demonstration sections. Using the attribute automation tool developed in this study, it took about 2 to 5 minutes for each target location to automatically input the attributes of the spatial relationship reference object, As a result of automation of attribute input for reference objects, attribute input accuracy of 86.4% for high-speed national highways, 79.7% for general national highways, 82.4% for C-ITS, and 82.8% on average were secured.