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KaeKyoungKwon,HyunSangLee,Sung-YoungJung,Joung-HanYim,이정현,HongKumLee 한국미생물학회 2002 The journal of microbiology Vol.40 No.4
Bacterial strains were isolated from biofilms formed on glass slides submerged in seawater in Dae-Ho Dike. Eight strains showing fast attaching ability were selected and identified. Their exopolysaccharide (EPS)-producing ability and EPS properties were characterized. Based on Microlog System, 4 among the 8 strains were identified as Micrococcus luteus and the rest were Bacillus thuringiensis, Bacillus megaterium, Staphylococcus saprophyticus and Agrobacterium vitis. A. vitis was reidentified as Sulfitobacter pontiacus based on 16S rDNA sequence data. The amount of water-soluble EPS produced by the 8 strains ranged from 0.114 to 1.329 g·l-1 and the productivity was negatively correlated with the cell biomass. The molecular weight of the produced EPS ranged from 0.38 to 25.19´104 Da. Glucose and galactose were ubiquitous sugar components. Mannose, ribose, and xylose were also major sugar components. The molecular weight and composition of the EPS showed strain-specific variation.
강필성(Pilsung Kang),금영정(Youngjung Geum),박현우(Hyun-woo Park),김상국(Sang-gook Kim),성태응(Tae-eung Sung),이학연(Hakyeon Lee) 대한산업공학회 2015 대한산업공학회지 Vol.41 No.2
This paper proposes a new approach to technology valuation, the market-replacement cost approach which integrates the cost-based approach and market-based approach. The proposed approach estimates the market-replacement cost of a target technology using R&D costs of similar R&D projects previously conducted. Similar R&D projects are extracted from project database based on document similarity between project proposals and technology description of the target technology. R&D costs of similar R&D projects are adjusted by mirroring the rate of technological obsolescence and inflation. Market-replacement cost of the technology is then derived by calculating the weighted average of adjusted costs and similarity values of similar R&D projects. A case of “Prevention method and system for the diffusion of mobile malicious code” is presented to illustrate the proposed approach.