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김천환(Kim Chun-Hwan) 한국철도학회 2005 한국철도학회 학술발표대회논문집 Vol.- No.-
With opening of KTX, Korea Railway have carried out a variety of marketing strategies unprecedented, which have brought successful results for dramatical increasing passengers in KTX from 72 thousand passengers per day in 2004 to 85 thousand passengers per day in 2005. These marketing strategies for Korea Rail to use in increasing passengers for KTX are the following: special discount fare system for non-season to penetrate into transport market in the first time, fare system reform considering to customers" willing to pay, new item development by each specific market like contracting transport, YMS(Yield Management System) by stages, Home-ticket-and-e-ticket and tele-marketing service, and wide range covering sales network making it comfortable for users in KTX. This paper discusses these successful marketing strategies and its performance and finally suggests strategic implications for KTX growth.
Chun Hwan Kim(김천환),Yul Kyun Ahn(안율균),Ki Cheol Seong(성기철),Jin Su Lee(이진수),Uen Young Song(송은영),Seong Cheong Kim(김성철),Doo Kyong Moon(문두경) (사)한국생물환경조절학회 2011 시설원예‧식물공장 Vol.20 No.1
본 실험은 무가온 하우스에서 오크라를 생산하기 위한 재배법을 개발하기 위해 11개의 품종에 대한 특성조사를 하였다. 또한 무가온 재배 시 적정 재식 밀도를 구명하기 위해 “Greensode” 품종의 발아조건과 재식간격을 구명하였다. 먼저 11개 품종의 특성을 조사한 결과 ‘No. 1’, ‘No. 4’, ‘No. 5’는 ‘No. 2’, ‘No. 3’에 비해 발아력이 다소 우수하였다. 생육은 No. 4의 초장이 109.2cm로 타 집단보다 길었다. 착과부위를 나타내는 마디수는 대부분 4.2~6.5개의 분포를 보였는데, ‘Greenrocket’ 품종의 마디수가 가장 많았다. 수량은 ‘Greensode’, ‘No. 2’, ‘No. 5’가 많았다. 또한 오크라 ‘Greensode’ 육묘 재배 시 발아율 향상을 위하여 종자 침지 시간을 달리하여 시험한 결과, 18시간 종자 침지 처리구가 9시간 침지와 무침지 처리구에 비하여 발아속도가 우수하였다. 18시간 종자 침지 처리구의 100% 발아 시점이 파종 후 8일 째로 9시간 침지와 무처리구 보다 7일 가량 빨리 발아되었다. 오크라 ‘Greensode’ 무가온 재배를 위한 적정 재식밀도를 구명하기 위해 재식간격, 구당주수 처리를 달리 하여 직파 재배하였다. 처리구 간 초장의 차이는 발생하지 않았으나 재식간격이 좁아질수록 경경이 작아지는 경향이 나타났다. 45 × 75㎝ 간격으로 파종하되 3~4주를 모아 심을 처리에서 수량이 가장 많아 무가온 재배에 적합했다. This study was conducted to develop method of producing okra in the plastic house and the 11 cultivar of okra were planted in plastic house for selecting proper cultivar in Korea. As result of observing growth, commercial cultivar germinated better than wild collected. The germination rate in ‘No 1’, ‘No 4’ and ‘No 5’ were better than in ‘No 2’ and ‘No 3’. The plant height of ‘No. 4’, which is one of wild collected, showed biggest plant height moreover ‘Greensode’. The numbers of node, which could indicate to set fruit, showed 4.2~6.5 per plant in most cultivar and ‘No 2’ and ‘No 5’ could yield more than others. ‘Greensode’ was planted in plastic house for finding out suitable planting method. The seeds were soaked could germinate 100% and those were taken 8 days for germinating but control seeds needed 15 days to germinate. The yield of ‘Greensode’ which was planted in 45 × 75 ㎝ with planted 3 and 4 per hill could best produce in plastic house.
FT-IR 스펙트럼 데이터로부터 다변량통계분석기법을 이용한 커피의 대사체 수준 품종 분류
김천환 ( Chun Hwan Kim ),정영빈 ( Young Bin Jung ),임찬규 ( Chan Kyu Lim ),김성철 ( Seong Chel Kim ),송승엽 ( Seung Yeob Song ) 한국국제농업개발학회 2018 韓國國際農業開發學會誌 Vol.30 No.2
FT-IR spectral analysis based on multivariate analysis can be used to discriminate between coffee (C. arabica) plants leaf. Whole cell extracts can be used to leaves eight coffee plants and the metabolic level was subjected to Fourier transform infrared (FT-IR) spectroscopy. FT-IR spectral data from leaves were analyzed by PCA (principal component analysis), PLS-DA (partial least square discriminant analysis) and HCA (hierarchical clustering analysis). FT-IR spectrum confirmed differences between the frequency regions of 1,700-1,500, 1,500-1,300 and 1,100-950 cm<sup>-1</sup>, respectively. These spectral regions reflect the quantitative and qualitative variations of amide I, II from 1,700-1,500cm<sup>-1</sup> (amino acids and proteins), phosphodiester groups from 1,500-1,300cm<sup>-1</sup> (nucleic acid and phospholipid) and 1,100-950cm<sup>-1</sup> (carbohydrate compounds). PCA revealed separate clusters that corresponded to similar species relationship. And PLS-DA showed similar species classification of coffee (C. arabica). Thus, PCA and PLS-DA could be used to the the distinction between coffee species with different metabolite contents. This study, these metabolic discrimination systems could be used for the rapid selection and classification of useful coffee cultivars.