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Recognition Of Chinese Named-Entity Using Support Vector Machine (SVM을 이용한 중국어 개체명 식별)

  • Jin, Feng;Na, Seung-Hoon;Kang, In-Su;Li, Jin-Ji;Kim, Dong-Il;Lee, Jong-Hyeok
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.934-936
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    • 2004
  • 본문에서는 최근 들어 각광을 받고 있는 패턴인식 방법론인 Support Vector Machine을 이용하여 중국어 개체명을 식별하는 방법을 제안하고자 한다. SVM(support vector machine)은 입력 자질이 많을 경우에도 안정적인 성능을 나타내고 보편적으로 적용할 수 있는 모델을 개발할 수 있는 장점이 있다. 실험에서 어휘. 품사, 의미부류 등 많은 수의 자질을 이용하였다. 실험결과는 본문에서 제안한 방법이 튜닝을 거치지 않아도 좋은 성능을 나타낼 수 있고, 수행 속도도 만족스럽다는 것을 보여주었다.

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An optimization design study of producing transuranic nuclides in high flux reactor

  • Wei Xu;Jian Li;Jing Zhao;Ding She;Zhihong Liu;Heng Xie;Lei Shi
    • Nuclear Engineering and Technology
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    • v.55 no.8
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    • pp.2723-2733
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    • 2023
  • Transuranic nuclides (such as 238Pu, 252Cf, 249Bk, etc.) have a wide range of application in industry, medicine, agriculture, and other fields. However, due to the complex conversion chain and remarkable fission losses in the process of transuranic nuclides production, the generation amounts are extremely low. High flux reactor with high neutron flux and flexible irradiation channels, is regarded as the promising candidate for producing transuranic nuclides. It is of great significance to increase the conversion ratio of transuranic nuclides, resulting in higher efficiency and better economy. In this paper, we perform an optimization design evaluation of producing transuranic nuclides in high flux reactor, which includes optimization design of irradiation target and influence study of reactor core loading. It is demonstrated that the production rate increases with appropriately determined target material and target structure. The target loading scheme in the irradiation channel also has a significant influence on the production of transuranic nuclides.