• Title/Summary/Keyword: Weightless

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Proposal Research for Character's Physical Change System in Space Survival Game through Literature Review (문헌검토를 통한 우주 생존 게임에서 캐릭터의 신체 변화 시스템 제안 연구)

  • Seong-Jin Han;Min-Je Jang;Jung-Yi Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.3
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    • pp.1-7
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    • 2024
  • In this study, in order to analyze physical changes that occur in real space in a survival game set in space and effectively apply this to the game, we investigated changes in the body exposed to a weightless environment based on literature on physical changes that occur in space. In addition, survival elements were derived by analyzing the system of survival games registered on the global platform STEAM. Based on the results obtained, a survival system was constructed so that it could be practically applied to a survival game set in space, and a method was designed to apply survival elements related to actual physical changes. Therefore, this study is expected to be used as a way to apply scientific facts as a survival factor for player characters when producing survival games set in space.

A Study on Unsupervised Learning Method of RAM-based Neural Net (RAM 기반 신경망의 비지도 학습에 관한 연구)

  • Park, Sang-Moo;Kim, Seong-Jin;Lee, Dong-Hyung;Lee, Soo-Dong;Ock, Cheol-Young
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.1
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    • pp.31-38
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    • 2011
  • A RAM-based Neural Net is a weightless neural network based on binary neural network. 3-D neural network using this paper is binary neural network with multiful information bits and store counts of training. Recognition method by MRD technique is based on the supervised learning. Therefore neural network by itself can not distinguish between the categories and well-separated categories of training data can achieve only through the performance. In this paper, unsupervised learning algorithm is proposed which is trained existing 3-D neural network without distinction of data, to distinguish between categories depending on the only input training patterns. The training data for proposed unsupervised learning provided by the NIST handwritten digits of MNIST which is consist of 0 to 9 multi-pattern, a randomly materials are used as training patterns. Through experiments, neural network is to determine the number of discriminator which each have an idea of the handwritten digits that can be interpreted.

Analysis of High School Students' Viewpoints based on Science History about Motion of Objects (과학사에 기초한 물체의 운동에 대한 고등학생들의 관점 분석)

  • Paik, Seong-Hey;Jo, Young-Jin
    • Journal of The Korean Association For Science Education
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    • v.26 no.3
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    • pp.317-329
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    • 2006
  • In this research, a questionnaire was developed to investigate high school students' viewpoints, originating from science history, on 'motion of on object', the subjects were seventy- five 10th grade students and sixty-five 11th grade students. Results found that the highest percentage among the types of 10th grade students' thoughts was related to the Middle Ages 'Impetus' viewpoints. Percentages of 11th grade students' thoughts were highest for Middle Ages and Newton views. These results provided proof that the development of student thoughts' based on science history' are consistent with school year. Furthermore, student thought regarding 'object motion' under the conditions of no force, vacuum, or air under a weightless stage were related to progressive viewpoints on science history. However, the percentage of thoughts related to earlier viewpoints were considerable. Student thoughts on parabolic motion, circle motion, and conservation amount of motion were found to be highly significant in similarity to the viewpoints of Galilei, Descartes, and Huygens; view cultivated before Newton. Consequently, this study determined that educational efficiency could be raised by providing historically more progressive views to cope with conflictory student thoughts-thoughts related to past views in science history.