• 전기의세계
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• v.27 no.1
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• pp.56-63
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• 1978

A new method is suggested for the bus active power vs. line power flow sensibility bector, applying the Optimally-Ordered Triangular Factorization Technique, and new algorithms are derived for the optimum measures against overloaded lines and transformers resulting from contingency analysis. According to the algorithms an online-purpose FORTRAN computer program package is developed and tested or the actual 48-bus, 91-line power system with good results.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.81-88
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• 2021

Recently, many videos such as online lecture videos caused by COVID-19 have been generated. However, due to the limitation of working hours and lack of cost, they are only a part of the videos with subtitles. It is emerging as an obstructive factor in the acquisition of information by deaf. In this paper, we try to develop a system that automatically generates subtitles using voice recognition and generates subtitles by separating sentences using the ending and time to reduce the time and labor required for subtitle generation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.221-222
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• 2023

본 연구에서는 주피터 노트북에서 자동 평가 시스템을 활용하기 위한 방안으로 자동 평가 시스템의 문제를 저장하고 제시하는 방안에 대해서 연구하였다. 자동 평가 시스템은 학습자가 직접 프로그래밍을 하고 바로 피드백을 받을 수 있는 장점이 있다. 주피터 노트북에서 자동 평가 시스템을 제공하는 nbgrader와 코들의 장점을 바탕으로 문제 제시 방안은 다음과 같다. 문제는 HTML 태그를 이용해 서식 있는 형태로 서버에 저장한다. 주피터 노트북에서 IPython.display 모듈의 display와 HTML 명령어를 사용하여 문제를 출력하면 코드셀 출력창에 서식 있는 HTML 문서를 출력하여 학습자에게 가독성 있게 문제를 제시할 수 있다.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.623-630
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• 2015

In this paper, the design and implementation of an automatic reference-citation-mark attachment system are introduced. The system automatically attaches a citation mark to the end of a sentence in a technical document if the corresponding statement has a high similarity to another statement in the same document; simultaneously, the corresponding bibliographic data is automatically created from the cited-document information. In accordance with functional specifications, a Web-based, online service model and the development of its prototype system are proposed. The developed system can help in the elimination of unexpected plagiarism issues, and will alleviate the burdens of reference citation and reference-list creation for technical writers.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.81-93
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• 2011

Identity theft happens frequently in popular MMORPG(Massively Multi-player Online Role Playing Games) where profits can be gained easily. In spite of the importance of security about identity theft in MMORPG, few methods to prevent and detect identity theft in online games have been proposed. In this study, we investigate real identity theft cases of an online game and define the representative patterns of identity theft as the speedy type, cautious type, and bold type. We then propose the automatic identity theft detection model based on the multi-class classification. We verify the system with one of the leading online games in Korea. The multi-class detection model outperforms the existing binary-class one(hacked or not).

• Journal of Navigation and Port Research
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• v.30 no.9
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• pp.773-777
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• 2006

Significant increase of container flows in the marine terminals requires more efficient port equipments such as logistic and transfer systems. This paper presents collision avoidance and routing approach based on dynamic programming (DP) algorithm for a linear motor based shuttle car which is considered as a new transfer system in the port terminals. Most of routing problems are focused on automatic guided vehicle (AGV) systems, but its solutions are hardly utilized for LM based shuttle cars since both are mechanically different. Our proposed DP is implemented for real-time searching of an optimal path for each shuttle car in the Agile port terminal located at California in USA.

• Journal of information and communication convergence engineering
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• v.20 no.3
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• pp.189-194
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• 2022

As non-face-to-face activities have become commonplace, online video conferencing platforms have become popular collaboration tools. However, existing video conferencing platforms have a structure in which one side unilaterally exchanges information, potentially increase the fatigue of meeting participants. In this study, we designed a video conferencing platform utilizing virtual reality (VR), a metaverse technology, to enable various interactions. A virtual conferencing space and realistic VR video conferencing content authoring tool support system were designed using Meta's Oculus Quest 2 hardware, the Unity engine, and 3D Max software. With the Photon software development kit, voice recognition was designed to perform automatic text translation with the Watson application programming interface, allowing the online video conferencing participants to communicate smoothly even if using different languages. It is expected that the proposed video conferencing platform will enable conference participants to interact and improve their work efficiency.

• ETRI Journal
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• v.43 no.4
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• pp.594-602
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• 2021

Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time-consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR-inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.

• Journal of Korea Multimedia Society
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• v.8 no.4
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• pp.544-553
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• 2005

In this paper, the research has been done to develop the inclination test items to form the desirable online learning community in which social interaction may be maximized, dropout rate lowered and learners' feeling of isolation eliminated. Once developed, the inclination test items have been classified into homogeneous ones and heterogeneous ones. And on the basis of the results of this research, Intelligent agent based Inclination Test Grouping e-learning System(IIGS) has been developed, which can perform automatic grouping of online leaning community by intelligent agent. The results of this research with 1,000 teachers in reality by means of developing the grouping system have shown that 151 groups are automatically formed. Among them, 34% have shown very high degree of learning satisfaction and intended to maintain the groups in the future.

• Journal of Korea Multimedia Society
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• v.22 no.6
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• pp.695-705
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• 2019

The level of psychological damage caused by verbal abuse among cyberbully victims is very serious. It is going to introduce a system that determines the level of sanctions against chatting in real time using the automatic prohibited words filtering based on artificial neural network. In this paper, we propose a keyword filtering method that detects the modified prohibited words and determines whether the corresponding chat should be sanctioned in real time, and a real-time chatting screening system using it. The accuracy of filtering through machine learning was improved by processing data in advance through coding techniques that express consonants and vowels of similar pronunciation at close distances. After comparing and analyzing Mahalanobis-based clustering algorithms and artificial neural network-based algorithms, algorithms that utilize artificial neural networks showed high performance. If it is applied to Internet chatting, comments or online games, it is expected that it will be able to filter more effectively than the existing filtering method and that this will ease communication inconvenience due to existing indiscriminate filtering methods.