• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.231-240
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• 2018

Recently, personal information processing are becoming more important in the behavioral advertising based on online and mobile platform. The behavioral advertising analyzes and utilizes individual's search & purchase history, hobbies, and tendency based on the personal behavior information collected using the automatic collection device. Therefore, it collects and stores other types of personal information which did't defined in Privacy Act and can analyze personal behavior. This characteristics may cause disclosure of personal information and exposure to intrusion. In this paper, we investigate and analyze the privacy policy of the advertising agencies, and discussded the measures to be taken in collecting, storing and using personal information suitable for behavior information.

• Journal of the Korean earth science society
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• v.30 no.4
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• pp.478-484
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• 2009

A web page was developed to enhance students' learning experience in studying meteorological phenomena. After collecting the meteorological elements observed with automatic weather observation system (AWS), it serve real-time meteorological information on demand. Past meteorological information as well as real-time current information can be retrieved because the web page can save and accumulate observed information in its data base. The completed web page was successfully applied in school settings in teaching students meteorology research sections of earth science. The results show that students experienced authentic and meaningful learning through the real-time meteorological information from the web page. In addition, large scale of time was required to observe meteorological phenomena and it hindered practical meteorological research in earth science classes. However, it is expected that the time limitation can be overcome by utilizing accumulated meteorological information of the web page.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.439-446
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• 2004

To design a user-adaptive web surfing system, we nay take the approach to divide the whole process into three phases; collecting user data, processing the data to construct and improve the user profile, and adapting to the user by applying the user profile. We have designed three software agents. Each privately works in each phase and they collaboratively support adaptive web surfing. They are IIA(Interactive Interface Agent), UPA(User Profile Agent), and ANA(Autonomous Navigation Agent). IIA provides the user interface, which collects data and performs mechanical navigation support. UPA processes the collected user data to build and update the user profile while user is web-surfing. ANA provides an autonomous navigation mode in which it automatically recommends web pages that are selected based on the user profile. The proposed approach and design method, through extensions and refinements, may be used to build a practical adaptive web surfing system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.285-294
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• 2014

As the utilization rate of smart device increases, various applications for smart device have been developed. Since these applications can contain important data related to user behaviors in digital forensic perspective, the analysis of them should be conducted in advance. However, lots of applications get to have new data format or type when they are updated. Therefore, whether the applications are updated or not should be checked one by one, and if they are, whether their data are changed should be also analyzed. But observing application data repeatedly is a time-consuming task, and that is why the effective method for dealing with this problem is needed. This paper suggests the automatic system which gets updated information and checks changed data by collecting application information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.295-298
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• 2010

There are three types of survey research system, telephone surveys, online surveys, interviews and so on. Currently most of the survey data have been verified by hand-collecting state in korea. Semi-automated research systems, some companies are using imported from abroad. This paper is the study on the design and implementation of linked research system for global standardization. The system is optimized through customizing for local conditions, as well as professionals for telephone surveys, online surveys, interviews even a normal user can enter the questionnaire easily and quickly. The result data is passed to the customer quickly and accurately. In particular, this system is based on automatic data input and collected provides best efficient analysis and statistics. Office programs and advanced statistical program SPSS is compatible with the maximum benefits for proposed system. Additionally, to achieve the import substitution effect through localization and to propose a global standard the proposed system is designed and implemented.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1393-1399
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• 2018

Companies that use a variety of software use patch management systems provided by security vendor to manage security vulnerabilities of software to improve security. System administrators monitor the vendor sites that provide new patch information to maintain the latest software versions, but it takes a lot of cost and monitoring time to find and collect patch information because the patch cycle is irregular and the structure of web page is different. In order to reduce this, studies to automate patch information collection based on keyword or web service have been conducted, but since the structure to provide patch information in vendor site is not standardized, it was applicable only to specific vendor site. In this paper, we propose a system that automates the collection of patch information by analyzing the structure and characteristics of the vendor site providing patch information and using web crawler to reduce the cost and monitoring time consumed in collecting patch information.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.79-104
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• 2019

Recently, various methods of collecting and preserving social media have been discussed in the field of archives and records management as social media is actively used as a way of communicating with the public in the government. In the United States, there is a move to acquire and preserve social media at the government level, and the National Archives (UK) already provides social media archives to users through Twitter and YouTube. In this study, we proposed the features, acquisition methods of social media by type and the preservation model based on case study results in terms of acquisition and preservation of social media archiving. In order to verify the effectiveness of the proposed methods, this study was applied to the social media of Gyeongsangnamdo provincial government. The results of this study is meaningful in that it suggested acquisition and preservation methods through actual collected results and it is expected that it will be useful for establishing the models for future social media archiving.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1588-1595
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• 2019

This paper presents the technique on structuring information of the diagram repository for UML diagrams. Because object interactions are the body of object-oriented programming, this paper handles especially the sequence diagrams and class diagrams among UML diagrams. Based on class diagrams, sequence diagrams represent the procedure of object interactions in run-time and then the corresponding codes are generated from the contents of those sequence diagrams. To do this work, this paper presents a method to construct the information repository for generating code from the contents of sequence diagrams. This paper classifies the five message types of sequence diagrams and then extracts the needed information including items and values on the corresponding message types for constructing message repositories. Because sequence diagram is composed of messages included, the final repository is constructed by collecting each of structured repositories on messages sequentially.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.281-283
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• 2021

The representative companies mentioned in the recommendation service in the domestic OTT(Over-the-top media service) market are YouTube and Netflix. YouTube, through various methods, started personalized recommendations in earnest by introducing an algorithm to machine learning that records and uses users' viewing time from 2016. Netflix categorizes users by collecting information such as the user's selected video, viewing time zone, and video viewing device, and groups people with similar viewing patterns into the same group. It records and uses the information collected from the user and the tag information attached to the video. In this paper, we propose a method to improve video media recommendation by automatically generating metadata of video media that was written by hand.

• Information Systems Review
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• v.10 no.1
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• pp.115-133
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• 2008

The third-party logistics industry mainly delivers goods from a place to an arrival place on behalf of the freight owner. To handle the work, they need a transportation route including transportation equipment between the starting place and the arrival place, schedule information for departure/arrival and transportation cost. Actually, automatic searching for an optimal transportation route, which considers arrival and departure points for intermodal transportation, is not a simple problem. To search efficiently transportation route, the collection of schedule information for intermodal transportation and transportation route generation have become critical and vital issues for logistics companies. Usually, they manually make a plan for a transportation route by their experience. Because of this, they are limited in their ability if there is too much cargo volume and a great many transactions. Furthermore, their dependence on the conventional way in doing business causes an inefficient selection of transporters or transportation routes. Also, it fails to provide diverse alternatives for transportation routes to the customers, and as a result, increases logistics costs. In an effort to solve these problems, this study aims to develop a route planning system based on agent, which can collect scattered schedule information on the Web. The route planning system also has an algorithm for transportation route generation in intermodal transportation.