• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.711-714
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• 2018

본 연구의 목적은 교육관리시스템(LMS)에서의 학습활동로그를 바탕으로 학습성과 영향도를 분석하고 이를 예측하기 위한 모델을 개발하는데 있다. 연구방법은 먼저 상관분석을 사용하여 유의미한 변수를 선정하였으며, 딥러닝을 사용하여 예측 모델을 생성하였다. 모델 생성 결과 테스트 데이터 셋에 대해 약 84%의 정확도로 학습성과를 예측할 수 있었다. 본 연구는 온라인 교육환경에서 빅데이터와 인공지능을 적용할 수 있는 새로운 관점을 제공할 것으로 기대한다.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.945-954
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• 2002

Clickstream is the information which demonstrate users' path through web sites. Analysis of clickstream shows how web sites are navigated and used by users. Clickstream of online web sites contains effective information of web marketing and to offers usefully personalized services to users, and helps us understand how users find web sites, what products they see, and what products they purchase. In this paper, we present an extended web log system that add to module of collection of clickstream to understand users' behavior patterns In web sites. This system offers the users clickstream information to database which can then analyze it with ease. Using ADO technology in store of database constructs extended web log server system. The process of making clickstreaming into database can facilitate analysis of various user patterns and generates aggregate profiles to offer personalized web service. In particular, our results indicate that by using the users' clickstream. We can achieve effective personalization of web sites.

• Journal of KIISE
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• v.43 no.6
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• pp.627-635
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• 2016

When many processes issue write operations alternately on Log-structured File System (LFS), the created files can be fragmented on the file system layer although LFS sequentially allocates new blocks of each process. Unfortunately, this file fragmentation degrades read performance because it increases the number of block I/Os. Additionally, read-ahead operations which increase the number of data to request at a time exacerbates the performance degradation. In this paper, we suggest a new cleaning method on LFS that minimizes file fragmentation. During a cleaning process of LFS, our method sorts valid data blocks by inode numbers before copying the valid blocks to a new segment. This sorting re-locates fragmented blocks contiguously. Our cleaning method experimentally eliminates 60% of file fragmentation as compared to file fragmentation before cleaning. Consequently, our cleaning method improves sequential read throughput by 21% when read-ahead is applied.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.1
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• pp.23-32
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• 2015

Modeling of fighter pilots, which is a fundamental technology for war games using defense M&S (Modeling & Simulation) becomes one of the prominent research issues as the importance of defense M&S increases. Especially, the recent accumulation of combat logs makes it possible to adopt statistical learning methods to pilot modeling, and an HMM (Hidden Markov Model) which is able to utilize the sequential characteristic of combat logs is suitable for the modeling. However, since an HMM works only by using one type of features, discrete or continuous, to apply an HMM to heterogeneous features, type integration is required. Therefore, we propose a dPCA-HMM method, where dPCA (Discrete Principal Component Analysis) is combined with an HMM for the type integration. From experiments conducted on combat logs acquired from a simulator furnished by agency for defense development, the performance of the proposed model is evaluated and was satisfactory.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.97-98
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• 2007

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.9
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• pp.637-648
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• 2009

As the cost of disks decreases, PCs are soon expected to be equipped with a disk of 1TB or more. Assuming that a single person generates 1GB of data per month, 1TB is enough to store data for the entire lifetime of a person. This has lead to the growth of researches on lifelog management, which manages what people see and listen to in everyday life. Although many different lifelog management systems have been proposed, including those based on the relational data model, based on ontology, and based on file systems, they have all advantages and disadvantages: Those based on the relational data model provide good query processing performance but they do not support complex queries properly; Those based on ontology handle more complex queries but their performances are not satisfactory: Those based on file systems support only keyword queries. Moreover, these systems are lack of support for lifelog group management and do not provide a convenient user interface for modifying and adding tags (metadata) to lifelogs for effective lifelog search. To address these problems, we propose a lifelog management system based on the relational data model. The proposed system models lifelogs by using the relational data model and transforms queries on lifelogs into SQL statements, which results in good query processing performance. It also supports a simplified relationship query that finds a lifelog based on other lifelogs directly related to it, to overcome the disadvantage of not supporting complex queries properly. In addition, the proposed system supports for the management of lifelog groups by providing ways to create, edit, search, play, and share them. Finally, it is equipped with a tagging tool that helps the user to modify and add tags conveniently through the ion of various tags. This paper describes the design and implementation of the proposed system and its various applications.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.1085-1088
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• 2006

MPEG-21 멀티미디어 프레임워크의 주요 기술 중 하나인 이벤트 리포팅은 MPEG-21 내에서 사용자, 피어, 디지털아이템 사이에서 발생하는 모든 보고 가능한 이벤트에 대한 정보를 공유하기 위한 표준적인 측정 방법과 인터페이스를 제공한다는 점에서 그 중요성을 가진다. 현재 MPEG을 중심으로 MPEG-21 이벤트 리포팅에 대한 연구가 진행되고 있으나 이를 구현한 예가 극히 드물다. 본 논문은 MPEG-21의 이벤트 리포팅 표준 기술을 바탕으로 이벤트 리포트 요구 생성 도구의 설계 및 구현 그리고 구현 결과에 대해 논하였다. 이벤트 리포트 요구 생성 도구는 메인 프레임, 입력 다이얼로그, 그리고 생성 프로세스로 구성되어 있다. 이벤트 리포트 요구의 표현언어는 XML이며 XML 표준 문법과 이벤트 리포트 요구 디지털 아이템 구조에 맞게 생성되도록 설계되었다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.383-391
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• 2010

A Lifelog management system provides users with services to store, manage, and search their life logs. This paper proposes a fully-automatic collecting method of real world social contacts and lifelog search engine using collected social contact information as keyword. Wireless short-distance network devices in mobile phones are used to detect social contacts of their users. Human-Bluetooth relationship matrix is built based on the frequency of a human-being and a Bluetooth device being observed at the same time. Results show that with 20% of social contact information out of full social contact information of the observation times used for calculation, 90% of human-Bluetooth relationship can be correctly acquired. A lifelog search-engine that takes human names as keyword is suggested which compares two vectors, a row of Human-Bluetooth matrix and a vector of Bluetooth list scanned while a lifelog was created, using vector information retrieval model. This search engine returns more lifelog than existing text-matching search engine and ranks the result unlike existing search-engine.

• The Transactions of the Korea Information Processing Society
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• v.2 no.3
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• pp.324-334
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• 1995

Most UIMS(User Interface Management System) adopt dialogue model of user interface Implementation of UIMS influenced by adopted dialogue model of user interface strongly. While the Model-View-Controller framework has contributed to many aspects of user interface development in Smalltalk environment- user interfaces generated with MVC have highly coupled model, view, and controller classes. Such coupling impedes the reuse of software component. So In this paper, we suggest MVCD model to resolve a decline of reuse with MVC have highly coupled. User messages are not changed by Controller immediately, but sent to Dialogue object which maintains the syntatic structure of the interaction. Dialogue object invokes Model object to updates is value. Since Model objects have active values, the value change propagates to the linked Controllers. Finally, Controller object convert the new value and update the View object. User interface builder is implemented on X-window with OSF/Motif that is base on this user dialogue model.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.51-59
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• 2018

The purpose of this study is to analyze genre differentiation in digital games and examine the changing characteristics of core genre elements. Especially this study focuses on the aspect that how players recognize genre differentiation based on the conceptual blending theory. The evolution of the genre does not end with decline or extinction. The genre keeps being divided into sub-genres through partial use of genre elements. The differentiation of the genre results from the principle of frame confrontation or expansion with a parent genre. Rogue-like games are differentiated from Role-playing games by frame conflict, while Metroidvania games are differentiated from Platform adventure games by frame expansion. In the former case, the core genre elements are independent and easily combined with other genres. For example, the core mechanism of Rogue-like genre like 'perma-death' or 'procedural generation' has a decisive effect on the differentiation of the game experience become an independent genre element. In the latter case of Metroidvania, the core genre elements strongly reveals context dependency and are difficult to use outside the genre convention. The core mechanism of Metroidvania is 'backtracking' in the labyrinth style map, but it could be effective genre element within the specific context like side-scrolling action-platformer.