• Title/Summary/Keyword: Yamada

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Creation of Multi-Functional Foods

  • Yamada, Koji
    • Food Industry And Nutrition
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    • v.9 no.1
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    • pp.15-22
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    • 2004
  • Foods contain various biologically functional components which contribute to our health. As shown in Table 1, bioregulatory function of food components are classified into five categories. In the enhancement of biodefense system, dietary fibers (DF), unsaturated fatty acids (UFA), antioxidants are effective. These components are also, effective in other categories. This means that food components are multifunctional. To maintain our health, effective use of multi-functional activity of food components is essential. (omitted)

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Taxonomic review of Lyctocoridae (Hemiptera: Heteroptera: Cimicomorpha) from the Korean Peninsula

  • Jung, Sunghoon;Kim, Junggon;Lee, Hodan;Roca-Cusachs, Marcos
    • Korean Journal of Agricultural Science
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    • v.46 no.1
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    • pp.79-84
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    • 2019
  • The family Lyctocoridae was taxonomically reviewed on the Korean peninsula with the finding of a new record, Lyctocoris ichikawai Yamada & Yasunaga, 2012. Morphological information such as a description of genitalia and a diagnosis as well as a key to the Korean species of the family is provided.

RESEARCH AND DEVELOPMENT OF PROGRAM MANAGEMENT SUPPORTING SYSTEM

  • Tetsuya Yamada;Shigehiko Tanabe
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.480-489
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    • 2007
  • Program management is a concept to deal with huge and complex business activities from social, economical, cultural and environmental points of view and increase their value for client and society. The aim of this study is to establish a framework of program management process and develop a supporting system for program management. In this paper we propose a framework and a proto type supporting system based on case studies and report the result of application to an urban redevelopment using partially implemented software.

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Strength Prediction of Mechanically Fastened Carbon/Epoxy Joints (탄소/에폭시 복합재료 구조물의 기계적 결합에 대한 강도 예측)

  • 김기범;이미나;공창덕
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 1997.04a
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    • pp.269-279
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    • 1997
  • An investigation was peformed to study the predicting the joint strength of mechanical fasteners. Bearing failure is most important failure mode for designing joint. So in this study, the prediction method in consideration with bearing failure was chosen. In the proposed method, the characteristic length is combined with the Yamada-Sun failure criterion, Tsai-Hill failure criterion and characteristic length for Tension and Compression is determined from investigation. Especially the length of compression is determined from the "bearing failure test" that newly conceived to take bearing failure into consideration. The proposed prediction method was applied to quasi-isotropic carbon/epoxy joint showing net-tension and bearing failure experimentally. Good agreement was found between the predicted and experimental result for each joint geometry.

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The Comparative Study for Software Reliability Models Based on NHPP (NHPP에 기초한 소프트웨어 신뢰도 모형에 대한 비교연구)

  • Gan, Gwang-Hyeon;Kim, Hui-Cheol;Lee, Byeong-Su
    • The KIPS Transactions:PartD
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    • v.8D no.4
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    • pp.393-400
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    • 2001
  • This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP). The failure process is analyzed to develop a suitable mean value function for the NHPP ; expressions are given for several performance measure. Actual software failure data are compared with generalized model by Goel dependent on the constant reflecting the quality of testing. The performance measures and parametric inferences of the new models, Rayleigh and Gumbel distributions, are discussed. The results of the new models are applied to real software failure data and compared with Goel-Okumoto and Yamada, Ohba and Osaki models. Tools of parameter inference was used method of the maximun likelihood estimate and the bisection algorithm for the computing nonlinear root. In this paper, using the sum of the squared errors, model selection was employed. The numerical example by NTDS data was illustrated.

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