• Horticultural Science & Technology
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• v.34 no.2
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• pp.331-341
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• 2016

We analyzed the functional fragrant components of three species of Cymbidium oriental orchids using gas chromatography-mass spectrometry (GC/MS). For the comparative analysis, C. goeringii 'Minchunran', 'Jugeumhwa', C. forrestii 'Chwigae', 'Songmae', 'Yongja', and C. faberi 'Choemae', 'Namyangmae', 'Hwaja' were investigated. Major fragrant components detected by GC/MS were selected on the basis of more than 3% value according to the analysis of peak area (%). We found that ${\alpha}$-bergamotene, which has a cytotoxic effect on breast cancer, cervical cancer, and glioblastoma, and nerolidol, which induces apoptosis of human hepatoma cells (HepG2), inhibits the growth of Streptococcus mutans and babesiosis, and has antibacterial properties, are common substances produced by C. goeringii L. Nerolidol and ${\beta}$-bisabolene, which is cytotoxic and suppresses the growth of malignant melanoma cells (B16-F10), HepG2, and leukemia cells (HL-60, K562), are major substances in C. forrestii R. Furthermore, ${\alpha}$-pinene, which inhibits the growth of gliobastoma cells (SF-767) and inhibits the anti-inflammatory action of hepatoma cells (BEL-7402); 1,8-cineole, which is a potential therapeutic agent for the treatment of gastric ulcers; and 1,3,7-octatriene, which functions as a pheromone, are the most common substances in C. faveri R. Thus, substances identified as major fragrant components in oriental orchid species have multiple beneficial applications in human health. This research forms the basis for further studies of the roles of major fragrant components in oriental orchids.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.241-249
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• 2009

Recently, a number of researches related to video annotation and representation have been proposed to analyze video for searching and abstraction. In this paper, we have presented a method to provide the picture elements of conversational participants in video and the enhanced representation of the characters using those elements, collectively called Character-net. Because conversational participants are decided as characters detected in a script holding time, the previous Character-net suffers serious limitation that some listeners could not be detected as the participants. The participants who complete the story in video are very important factor to understand the context of the conversation. The picture elements for detecting the conversational participants consist of six elements as follows: subtitle, scene, the order of appearance, characters' eyes, patterns, and lip motion. In this paper, we present how to use those elements for detecting conversational participants and how to improve the representation of the Character-net. We can detect the conversational participants accurately when the proposed elements combine together and satisfy the special conditions. The experimental evaluation shows that the proposed method brings significant advantages in terms of both improving the detection of the conversational participants and enhancing the representation of Character-net.