• Title/Summary/Keyword: 작위

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"람세스"를 다시 읽으며

  • Ju, Myeong-Cheol
    • The Korean Publising Journal, Monthly
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    • s.220
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    • pp.9-9
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    • 1997
  • "람세스"는 역사소설이다. 역사소설에서 적당한 창조는 오히려 당시 분위기를 설명하는 고도의 기술이 된다. 작가는 고대 이집트 전문가답게 고대인의 기술과 재력, 궁중생활과 서민생활, 국제관계까지 잘 보여주고 있다. 현실이기에는 너무나 아름다운 작위를 통해서 말이다.

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모바일 컨텐츠 연재 / "지적재산권은 어떤 자산보다 소중하다"

  • Yang, Su-Hyeon
    • Digital Contents
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    • no.6 s.121
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    • pp.136-141
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    • 2003
  • '테트리스'라는 게임을 모르는 사람이 있을까? 1980년대 후반 전자오락실을 평정했던 자타가 공인하는 최고의 킬링 타임용 게임이다. 테트리스의 게임 방식은 여러 가지 모형이 무작위로 나타나 위에서 아래로 떨어지고, 버튼을 누르면 회전해 모양이 바뀌고, 모형의 조합이 맞아떨어지면 소멸되는 기본 원칙은 신선한 충격이었다.

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A Study on Developing Computer Models of Neuropsychiatric Diseases (신경정신질환의 컴퓨터모델 개발에 관한 연구)

  • Koh, In-Song;Park, Jeong-Wook
    • Korean Journal of Biological Psychiatry
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    • v.6 no.1
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    • pp.12-20
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    • 1999
  • In order to understand the pathogenesis and progression of some synaptic loss related neuropsychiatric diseases, We attempted to develop a computer model in this study. We made a simple autoassociative memory network remembering numbers, transformed it into a disease model by pruning synapses, and measured its memory performance as a function of synaptic deletion. Decline in performance was measured as amount of synaptic loss increases and its mode of decline is sudden or gradual according to the mode of synaptic pruning. The developed computer model demonstrated how synaptic loss could cause memory impairment through a series of computer simulations, and suggested a new way of research in neuropsychiatry.

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Stochastic Simulation of Groundwater Flow in Heterogeneous Formations: a Virtual Setting via Realizations of Random Field (불균질지층내 지하수 유동의 확률론적 분석 : 무작위성 분포 재생을 통한 가상적 수리시험)

  • Lee, Kang-Kun
    • Journal of the Korean Society of Groundwater Environment
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    • v.1 no.2
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    • pp.90-99
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    • 1994
  • Heterogeneous hydraulic conductivity in a flow domain is generated under the assumption that it is a random variable with a lognormal, spatially-correlated distribution. The hydraulic head and the conductivity in a groundwater flow system are represented as a stochastic process. The method of Monte Carlo Simulation (MCS) and the finite element method (FEM) are used to determine the statistics of the head and the logconductivity. The second moments of the head and the logconductivity indicate that the cross-covariance of the logconductivity with the head has characteristic distribution patterns depending on the properties of sources, boundary conditions, head gradients, and correlation scales. The negative cross-correlation outlines a weak-response zone where the flow system is weakly responding to a stress change in the flow domain. The stochastic approach has a potential to quantitatively delineate the zone of influence through computations of the cross-covariance distribution.

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