• Title/Summary/Keyword: Flight Phase Discrimination

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Impact Point Prediction of the Ballistic Target Using a Flight Phase Discrimination (비행단계 식별 알고리즘을 이용한 초고속 표적의 탄착점 예측)

  • Jung, JaeKyung;Hwang, DongHwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.3
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    • pp.234-243
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    • 2015
  • It is required to have the capability to predict the impact point of the ballistic target in order to assign the firing unit with high engagement possibility for the interception in the ballistic target defense systems. In this paper, a novel method is proposed to predict the impact point of the ballistic target using a flight phase discrimination algorithm given the insufficient measurements on the partial trajectory. The flight of a ballistic target is composed of a boost phase and a ballistic phase with different dynamics. The flight phase is discriminated by using the normalized innovation distance between measurements and a priori estimated measurements. The threshold and tolerance in the flight phase discrimination are determined from the probabilistic characteristics of the estimation error. Monte Carlo simulations are performed to verify the proposed method.

Comparative analysis of volatile and non-volatile flavor compounds in rice paste made by α-amylase according to cultivars (α-amylase를 이용하여 제조한 쌀 페이스트의 품종에 따른 휘발성비휘발성 향미성분 비교분석)

  • Son, Eun Young;Kim, Hye Won;Kim, Sun Ah;Lee, Sang Mi;Paek, Se Hee;Kim, Sun Hee;Seo, Yong Ki;Park, Hye-Young;Oh, Sea-Kwan;Kim, Young-Suk
    • Journal of Applied Biological Chemistry
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    • v.60 no.3
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    • pp.283-291
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    • 2017
  • Rice that the half of population in the world eats as a staple food is mostly produced and consumed in Asia. However, its consumption is nowadays decreasing mainly due to diet diversity. Accordingly, some attempts are in demand to enhance the utilization of rice. In this study, profiling of volatile and non-volatile flavor components in rice pastes obtained by ${\alpha}$-amylase was performed and compared according to nine different rice cultivars domestically cultivated in Korea using gas chromatography-mass spectrometry combined by solid phase microextraction and gas chromatography-time of flight-mass spectrometry after a derivatization, respectively. In total, 46 volatile compounds identified included 6 alcohols, 6 aldehydes, 4 esters, 4 furan derivatives, 4 ketones, 1 acid, 1 sulfur-containing compound, 7 hydrocarbons, 5 aromatics and 8 terpenes. The non-volatile flavor components found were composed of 12 amino acids, 6 sugars and 4 sugar alcohols. In principal component analysis, rice paste samples could be discriminated according to cultivars on the score plots of volatile and non-volatile flavor compounds. In particular, some volatile compounds such as pentanal and 4,7-dimethylundecane could contribute to distinguish Senong 17 white and Senong 17 brown, whereas ethanol, 6-methylhep-5-en-2-one, and tridecane could be highly related to the discrimination of Iipum from other cultivars. Among non-volatile compounds, some amino acids such as glycine, serine and ${\gamma}$-aminobutyric acid and some sugars such as sucrose and fructose were mainly responsible for the discrimination of Danmi from the other cultivars. On the other hand, galactose, arabitol and mannose were more closely related to Senong 17 white than Senong 17 brown.