• Journal of Korea Spatial Information System Society
• /
• v.11 no.2
• /
• pp.45-53
• /
• 2009

The fast progress on multimedia data acquisition technologies has enabled collecting vast amount of videos in real time. Although the amount of information gathered from these videos could be high in terms of quantity and quality, the use of the collected data is very limited typically by human-centric monitoring systems. In this paper, we propose a framework for analyzing long traffic video using series of content-based analyses tools. Our framework suggests a method to integrate theses analyses tools to extract highly informative features specific to a traffic video analysis. Our analytical framework provides (1) re-sampling tools for efficient and precise analysis, (2) foreground extraction methods for unbiased traffic flow analysis, (3) frame property analyses tools using variety of frame characteristics including brightness, entropy, Harris corners, and variance of traffic flow, and (4) a visualization tool that summarizes the entire video sequence and automatically highlight a collection of frames based on some metrics defined by semi-automated or fully automated techniques. Based on the proposed framework, we developed an automated traffic flow analysis system, and in our experiments, we show results from two example traffic videos taken from different monitoring angles.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2004.04a
• /
• pp.419-426
• /
• 2004

The national framework data is being constructed by the second plan of NGIS(National geographic information system). However, themes of national framework data are not reflecting various geographic information of marine that demand is increasing. Also, it is mean that national framework data did not consider concept of country which is integrate land and marine. Therefor, this study perform to organize marine framework data through analysis of overseas framework data, and present the composition of national framework data that land and marine are integrated through investigate relationship between national framework data and marine framework data.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2004.11a
• /
• pp.361-366
• /
• 2004

Geographic Information has been used widely for landuse and management, city plan, and environment and disaster management, etc., But geographic information has been built for individual cases using various methods. Therefore, the discordancy in data, double investment, confusion of use and difficulty of decision supporting system have been occurred. In order to solve these problems, national government is need to framework database. This framework database was enacted for building and use of National Geographic Information System and focused on basic plan of the second national geographic information system. Also, the framework database was selected of eight fields by NGIS laws and 19 detailed items through meeting of framework committee since 2002. In this research, The 19 detailed items( road, railroad, coastline, surveying control point etc.,) of framework database consider a Priority order, In the result of this research, the framework database is obtain to a priority order for building and the national government will carry effectively out a budget for the framework database building. Each of 19 detailed items is grouping into using the priority order of the framework database by AHP analysis method and verified items by decision tree analysis method. The one of the highest priority order items is a road, which is important for building, continuous renovation, and maintain management for use.

• Asia pacific journal of information systems
• /
• v.8 no.2
• /
• pp.37-51
• /
• 1998

This study attempts to draw a blueprint of risk analysis for Information Systems (IS). We introduce two main variables for measuring IS risk - business-impact intensity and IS-vulnerability index - through the investigation of information characteristics, business processes and human-related factors. IS-vulnerability index consists of two factors such as degree of openness and degree of preparedness to the threats. Based on these factors, we built two integrative frameworks for risk analysis and management: One is a conceptual framework to enhance the understandability of IS risk itself; the other is an integrative framework to improve the managerial insight of overall IS risk. We then conducted a field study to empirically validate the proposed framework using a structural equations modeling method. We found that IS maturity and business-impact intensity were positively correlated to degree of openness to the threats, while IS maturity was negatively correlated to degree of preparedness to the threats.

• Convergence Security Journal
• /
• v.10 no.4
• /
• pp.13-19
• /
• 2010

The flow of time, depending on the company's ongoing business link to guarantee the proportion of much greater importance, it in the organization as part of an enterprise-wide level, rather than acting on the information society has been considered as the topic of race. Information Security Governance, the integrity of the information, service continuity, the three kinds of information asset protection purpose begins. It is essential for corporate governance, transparency should be part, must be aligned with the IT framework. Existing information security governance framework that small businesses a wide range of governance issues and interests have never had. Therefore, we simplified the information security governance framework is proposed, and solve problems, and propose a framework for analysis of the safety and efficiency through the analysis of the effectiveness of the proposed method were discussed.

• Journal of Information Technology Services
• /
• v.15 no.4
• /
• pp.41-62
• /
• 2016

In Internet of Things (IoT) era, more diverse types of information are collected and the environment of information usage, distribution, and processing is changing. Recently, there have been a growing number of cases involving breach and infringement of personal information in IoT services, for examples, including data breach incidents of Web cam service or drone and hacking cases of smart connected car or individual monitoring service. With the evolution of IoT, concerns on personal information protection has become a crucial issue and thus the risk analysis and management method of personal information should be systematically prepared. This study shows risk factors in IoT regarding possible breach of personal information and infringement of privacy. We propose "a risk analysis framework of protecting personal information in IoT environments" consisting of asset (personal information-type and sensitivity) subject to risk, threats of infringement (device, network, and server points), and social impact caused from the privacy incident. To verify this proposed framework, we conducted risk analysis of IoT services (smart communication device, connected car, smart healthcare, smart home, and smart infra) using this framework. Based on the analysis results, we identified the level of risk to personal information in IoT services and suggested measures to protect personal information and appropriately use it.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.8
• /
• pp.2222-2240
• /
• 2023

Brand fandom refers to a collection of consumers with strong emotions toward a brand. Studying the dynamics of brand fandom can help brands understand which services or strategies influence their consumers to become a part of brand fandom. However, existing literature on fandom in the last three decades has mainly used qualitative methods, and there is still a lack of research on fandom using quantitative methods. Specifically, previous studies lack a framework for locating fandoms from online textual data and analyzing their dynamics. This study proposes a framework for exploring brand fandom dynamics based on online textual data. This framework consists of four phases based on the design thinking model: Preparing Data, Defining Fandom Categories, Generating Fandom Dynamics, and Analyzing Fandom Dynamics. This framework uses techniques such as social network analysis and process mining, combined with brand personality theory. We demonstrate the applicability of this framework using case studies of two Korean home appliance brands. The dataset contains 14,593 posts by consumers in 374 online communities. The results show that the proposed framework can analyze brand fandom dynamics using textual customer data. Our study contributes to the interdisciplinary research at the intersection of data-driven service design and consumer culture quantification.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.8
• /
• pp.45-52
• /
• 2015

To solve the problem of low inter-operability of systems and low reusability caused by not being standardized and common-shared development foundation between software developers, the government has proposed e-Government(eGov) standard framework. However, the development method based on eGov standard framework is not easy to learn and to use fluently, because it is so dissimilar the existing traditional development method. In this paper, we propose an approach for developing web applications by reusing common components of eGov standard framework, and describe about the case study of developing Can_Pro(Computer Aided Nutritional analysis program for Professionals) based on eGov standard framework. Consequently, we show improvement in productivity and reduction budget through reusability of common components and eGov standard framework.

• Journal of Information Technology Services
• /
• v.12 no.1
• /
• pp.143-161
• /
• 2013

Convergence is now the trend of knowledge information society. Information technology and knowledge transfer are main sources of convergence. There are many articles which studied outcomes of convergence while there are few articles that try to study the process of convergence. The purpose of this study is to investigate how convergence is dynamically formalized. For the analysis, we used Institutional Analysis and Development(IAD) framework from the point of convergence. IAD framework could synthetically study the origin and the process of convergence. We investigated the case of sillicon valley whether or not dynamics of ICT convergence could be explicable by IAD framework. The results shows that ICT technology and knowledge could be the enabler for the formation of convergence. ICT technology accelerates convergence and knowledge convergence from information converge different technologies and industries. This article provides a theoretical foundation for future research to analyze dynamics of ICT convergence by the IAD framework. For the future work, it is recommended that a study is to be empirically analyzed the dynamics of ICT convergence.

• 한국경영정보학회:학술대회논문집
• /
• 2007.06a
• /
• pp.646-651
• /
• 2007

Secure digital payment is critical in the successful shaping of global digital business. Digital payments are increasingly being used as a substitute to traditional payments, contributing markedly to the efficiency of the economy. The focus of every digital business transaction is to minimize risks arising from transactions. It is essential to ensure the security of digital payment whether used in internal networks or over wireless Internet. This paper analyses secure digital payment methods from the viewpoint of systemic security and transaction security. According to comparative analysis of digital payment models, this paper proposes a comparative analysis framework to investigate and evaluate secure digital payment. In conclusion, the comparative analysis framework, comparison of digital payment models and mobile payment models proposes a useful academic and practical foundation to enhance the understanding of secure digital payment methods. It also provides academic background and practical guidelines for the development of secure digital payment systems.