• Journal of the Korea Computer Graphics Society
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• v.2 no.1
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• pp.61-67
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• 1996

3D graphics applications require managing and displaying objects as well as handling events. These tasks are quite complex for applications to worry about and are common to many applications. Therefore, many attempts have been made to provide toolkits with these capabilities for those applications. This paper presents a toolkit that is easy to use and well suited for the modeling and rendering tasks. The object-oriented programming techniques used in designing the toolkit make it flexible and easily extensible.

• The Journal of the Korea Contents Association
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• v.8 no.6
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• pp.222-231
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• 2008

The research was executed to find out that customers' dissatisfaction level caused from service failure could be increased or decreased by personal value attitude for a event. With the empirical study the research found fate or destiny oriented individuals are more likely to forgive for the service failures than face value oriented ones. The findings will be helpful to increase customers satisfaction levels after customers experienced service failures if a service firm can manage individuals' personal values.

• The Research Journal of the Costume Culture
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• v.5 no.3
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• pp.142-150
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• 1997

Korean ritual dancing was doing in a royal court when an auspicious event happen in a country, a ritual ceremony was hold or reception for an envoy came from the other country was hold. There were 53 kinds of ritual dancing in Korea. Gumgee-Mu was the one among of them. Yea-Reung(woman ritual dancer) were dancing Gumgee-Mu with a sword. For Gumgee-Mu they wore a Kaeja(快子), Haebsuyoi(挾袖衣). Above it they took a Jeandae(戰帶), Jeanlib(戰笠). The dancing suit\`s color had a harmony with well mixed. Lunar-Solar-Five-Natural(陰陽五行) of oriented traditional concept.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.198-203
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• 2000

NRCL(NaRae Hardware Control Language)은 C++ 기반의 산업용 객체 지향 실시간 언어이다. NRCL은 멀티태스킹이 가능하며, 이벤트 위주(Event-Driven) 방식의 가벼운 언어이다. 언어를 가볍게 만들기 위해 NRCL은 태스크를 최소 단위의 객체(컴포넌트)로 정의하였으며, 스케줄러(메시지 처리기)를 통해 우선 순위 방식으로 태스크들을 활성화시킨다. 본 논문에서는 효율적인 실시간 시뮬레이터 작성을 위한 객체지향 실시간 언어 NRCL을 제안하고, NRCL을 통한 재사용성, 이식성, 확장성, 유지 보수성을 보인다.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1272-1279
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• 1999

This paper suggests system development method with extended user participation. Context diagram, event diagram, information diagram, management diagram and interface STD are staple products. This method introduces interface STD, management diagram and context diagram with administrator as relator. We adapted to research business of professor and ATM(Automatic Teller machine), when it can be adaptable to business-oriented system.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.791-794
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• 2003

21세기 정보화 사회가 요구하는 새로운 인재의 모습은 시대의 변화에 맞게 달라지고 있다. 이러한 정보화 사회가 요구하는 인재 양성을 위한 교육 방향의 변화에 맞는 교육은 e-Learning이라 할 수 있다. 본 논문에서는 이러한 e-Learning 의 근간이 되는 교수법과 이에 따른 web-book 을 개발하였다. 본 연구에서 개발한 web-book은 웹을 기반으로 하는 학습이라는 점에서 e-Learning 에 포함될 수 있으며, 특히 학습 정보를 전달하고 교수자와 학습자 상호간에 의사소통을 할 수 있다는 점에서는 e-Learning 의 한 형태라 할 수 있겠다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.4
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• pp.812-820
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• 2012

In this paper, multiple pedestrians tracking system using Histogram of Oriented Gradient and occlusion detection is proposed. The proposed system is applicable to Intelligent Surveillance System. First, we detect pedestrian in a image sequence using pedestrian's feature. To get pedestrian's feature, we make block-histogram using gradient's direction histogram based on HOG(Histogram of Oriented Gradient), after that a pedestrian region is classified by using Linear-SVM(Support Vector Machine) training. Next, moving objects are tracked by using position information of the classified pedestrians. And we create motion trajectory descriptor which is used for content based event retrieval. The experimental results show that the proposed method is more fast, accurate and effective than conventional methods.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1049-1064
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• 2005

The demands of increasingly complicated software have led to the proliferation of object-oriented design methodologies in embedded systems. To execute a system designed with objects in target hardware, a task set should be derived from the objects, representing how many tasks reside in the system and which task processes which event arriving at an object. The derived task set greatly influences the responsiveness of the system. Nevertheless, it is very difficult to derive an optimal task set due to the discrepancy between objects and tasks. Therefore, the common method currently used by developers is to repetitively try various task sets. This paper proposes Scenario-based Implementation Synthesis Architecture (SISA) to solve this problem. SISA encompasses a method for deriving a task set from a system designed with objects as well as its supporting development tools and run-time system architecture. A system designed with SISA not only consists of the smallest possible number of tasks, but also guarantees that the response time for each event in the system is minimized. We have fully implemented SISA by extending the ResoRT development tool and applied it to an existing industrial PBX system. The experimental results show that maximum response times were reduced $30.3\%$ on average compared to when the task set was derived by the best known existing methods.

• Journal of Information Science Theory and Practice
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• v.2 no.4
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• pp.31-48
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• 2014

The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated researchers to design systems that can track and detect news better. iTDT focuses on user interaction, user evaluation, and user interfaces. Recently, increasing effort has been devoted to user interfaces to improve TDT systems by investigating not just the user interaction aspect but also user and task oriented evaluation. This study investigates the combination of the bag of words and named entities approaches implemented in the iTDT interface, called Interactive Event Tracking (iEvent), including what TDT tasks these approaches facilitate. iEvent is composed of three components, which are Cluster View (CV), Document View (DV), and Term View (TV). User experiments have been carried out amongst journalists to compare three settings of iEvent: Setup 1 and Setup 2 (baseline setups), and Setup 3 (experimental setup). Setup 1 used bag of words and Setup 2 used named entities, while Setup 3 used a combination of bag of words and named entities. Journalists were asked to perform TDT tasks: Tracking and Detection. Findings revealed that the combination of bag of words and named entities approaches generally facilitated the journalists to perform well in the TDT tasks. This study has confirmed that the combination approach in iTDT is useful and enhanced the effectiveness of users' performance in performing the TDT tasks. It gives suggestions on the features with their approaches which facilitated the journalists in performing the TDT tasks.

• Spatial Information Research
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• v.22 no.3
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• pp.1-8
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• 2014

While SNS services such as Twitter or Facebook are rapidly growing, research for the SNS analysis has been concerned. Especially, twitter reacts to social issues in real-time so that it is used to get useful experimental data for researchers of social science or information retrieval. However, it is still lack of research on the methodology to collect data. Therefore, this paper suggests the tweet acquisition system by considering tendency of twitter user oriented location-based event and political social event. First the system acquires tweets including information of location and keyword about event and secure IDs for acquisition of political social event. Then we plan ID-analyzer to classify the tendency of users. In addition for measuring reliability of ID-analyzer, it acquires and analyzes the tweet by using high-ranked ID. In analyses result, top-ranked ID shows 88.8% reliability, 2nd-ranked ID shows 76.05% and ID-analyzer shows 77.5%, it shortens collection time by using minority ID.