• Title/Summary/Keyword: 퓨어데이터

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Development of a Sound Art Programming Course for Non-Majors (비전공자를 위한 사운드 아트 프로그래밍 교과목 개발)

  • Kwon Hyunwoo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.71-79
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    • 2024
  • This study developed a sound art programming course using pure data to foster computational thinking and convergence of art and technology in college students who are non-computer majors. This paper presents an example of operating a curriculum that designed and developed a sound art-centered music programming subject using Pure Data, derives educational outcomes and improvement measures for classes, and presents a creative convergence education program of technology and art. It has a purpose. For the study, we looked at examples of educational programs that combine art and technology, as well as pure data and sound art, and based on this, we designed and developed a sound art programming course for non-majors. The curriculum was operated based on the developed subjects, and the results showed increased interest in programming through art and technology convergence classes, active class participation through autonomous choice, creation of a new perspective on art, improvement of computational thinking skills, collaboration and communication. The educational effect of ability enhancement was confirmed. We expect that this study will be able to present a new perspective on the convergence education of art and technology, including artistic diversity and understanding of new media according to the development of media.

Trends and Technology Ana17sis of XKMS(Xml Key Management Specification) (XKMS(Xml Key Management Specification)동향 및 기술 분석)

  • 김세영;이석래;박정환;신동일
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10a
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    • pp.772-774
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    • 2001
  • 최근 XML(eXtensible Markup Language)이 인터넷 전자 상거래와 데이터 전송 및 검색 부문에서 광범위하게 이용됨에 따라, XML 문서에 대한 보안과 표준화 문제가 대두되고 있다. XML을 이용한 각종 데이터 및 문서는 웹 상에 존재하게 되며, 가상공간에서 문서적 처리는 제 3자에 의해 위조나 변경이 가능하다. 이에 데이터 및 문서를 보호하는 일은 현재 필수적인 사안이며, XML 문서 보안에 대한 연구 개발 또한 활발히 진행되고 있다. 최근 Microsoft와 Verisign, Webmethods등 3개사는 XML기반 차세대 PKI(Public Key Infrastructure)기술인 XKMS(Xml Key Management Specification)를 개발하였으며, XKMS 표준화 작업에 휴렛패커드(HP), 불티모어, IBM, 퓨어에지솔루션스, 로이터 등이 참여하고 있다. 이에 본 논문에서는 XKMS의 표준화를 진행중인 표준화 단체의 XML 보안동향을 파악하고, XKMS의 내부 구조 및 전반적인 기술을 분석한다.

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Development of an Authoring Tool for Producing 3D Games (3D 게임 제작을 지원하는 저작도구의 개발)

  • Lee Hunjoo;Kim Hyunbin
    • Journal of Korea Multimedia Society
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    • v.7 no.10
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    • pp.1464-1477
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    • 2004
  • Recently, there is a growing consideration that game authoring tools can play an important role in producing 3D games. In this paper, we introduce our 3D game authoring tool. The tool consists of a map editor, a sound editor, a game data exporter/previewer, and a special effect editor. This tool can help a game designer Produce game data such as game maps, sound effects, and special effects, and so on. In this paper, we implemented a prototype game content to verify the effectiveness of the developed authoring tool.

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Development of an Improved Geometric Path Tracking Algorithm with Real Time Image Processing Methods (실시간 이미지 처리 방법을 이용한 개선된 차선 인식 경로 추종 알고리즘 개발)

  • Seo, Eunbin;Lee, Seunggi;Yeo, Hoyeong;Shin, Gwanjun;Choi, Gyeungho;Lim, Yongseob
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.2
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    • pp.35-41
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    • 2021
  • In this study, improved path tracking control algorithm based on pure pursuit algorithm is newly proposed by using improved lane detection algorithm through real time post-processing with interpolation methodology. Since the original pure pursuit works well only at speeds below 20 km/h, the look-ahead distance is implemented as a sigmoid function to work well at an average speed of 45 km/h to improve tracking performance. In addition, a smoothing filter was added to reduce the steering angle vibration of the original algorithm, and the stability of the steering angle was improved. The post-processing algorithm presented has implemented more robust lane recognition system using real-time pre/post processing method with deep learning and estimated interpolation. Real time processing is more cost-effective than the method using lots of computing resources and building abundant datasets for improving the performance of deep learning networks. Therefore, this paper also presents improved lane detection performance by using the final results with naive computer vision codes and pre/post processing. Firstly, the pre-processing was newly designed for real-time processing and robust recognition performance of augmentation. Secondly, the post-processing was designed to detect lanes by receiving the segmentation results based on the estimated interpolation in consideration of the properties of the continuous lanes. Consequently, experimental results by utilizing driving guidance line information from processing parts show that the improved lane detection algorithm is effective to minimize the lateral offset error in the diverse maneuvering roads.