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향끽미종 잎담배 ST375-4의 신재배법 연구 제1보 피복방법이 수량 및 품종에 미치는 영향
정기택,반유선,이정덕 한국작물학회 1981 Korean journal of crop science Vol.26 No.3
향끽미품종인 ST375-4를 공시하여 수확기를 앞당기고 노력을 절멸하며 수량과 품질을 향상시키는 재배법을 구명코자 한 구덩이에 5주를 이주하여 개량 Mulching하는 1혈다주 개량Mulching, 한 구덩이에 1주를 이주하는 일반 Mulching 및 무피복재배로 실시한 결과를 요약하면 다음과 같다. 1. 1혈다주 개량 Mulching 재배는 무피복재배구 보다 수확기가 14일 앞당겨졌다. 2. 1혈다주 개량Mulching재배는 이식노동력이 무피복재배보다 44.9% 절감되었다. 3. 1혈다주 개량 Mulching 재배시 엽면상체조도는 무피복재배와 차가 없었다. 4. 1혈다주 개량 Mulching 재배는 무피복재배에 비해 수량 28.7%, kg 당가격가 15.0%가 향상되었다. This study was carried out in 1979 to establish the proper mulching culture method for an aromatic tobacco, ST 375-4. Three different methods of mulching were employed: Improved mulching (I. M.), General mulching (G. M.) and Non-mulching (N. M.). The number of seedlings per hole was 5 for I. M., and one for G. M. and N. M. In comparison with N. M., I. M. had shortened final date of leaf harvest by 14 days, enabling curing leaves before the rainy season. It also reduced transplanting labour hours by 44.9%. Yield and price value increased with improved mulching culture. There was little difference in relative light intensity at leaves between N. M. and I. M.
정기택,조수헌,복진영,이종률,Jeong, Kee-Taeg,Cho, Soo-Heon,Bock, Jin-Young,Lee, Joung-Ryoul 한국연초학회 2007 한국연초학회지 Vol.29 No.1
This study was conducted in order to predict the chemical and physical properties by climatic factors during the growing season of burley tobacco as soon as possible. The data of six chemical and five physical properties were collected from "Analysis of chemical and physical properties on farm leaf tobacco" conducted at KT&G Central Research Institute from 1987 to 2006. Data of climatic factors from April to July in 6 districts were collected from Korea Meteorological Adminstration. Except for total nitrogen, total nitrogen/nicotine and yellowness(b), all probabilities of linear regression equations between the climatic factors(X) and the average contents of twelve grades(whole plant) for chemical and physical properties(Y) were significant($P{\leq}0.05$). The predicable probabilities within ${\pm}20%$ range of difference were 100% in ether extract content, 95% in nicotine content, and 90% in filling value. These results suggest that the regression equations may be useful to predict the average content of twelve grades for four chemical and four physical properties by climatic factors during the growing season of burley tobacco at the beginning of August.
토양환경, 재배방법 및 기상요인이 황색종 잎담배 화학성분에 미치는 영향
정기택,김상범,조수헌,복진영,이종률,Jeong Kee-Taeg,Kim Sang-Beom,Cho Soo-Heon,Bock Jin-Young,Lee Joung-Ryoul 한국연초학회 2006 한국연초학회지 Vol.28 No.1
This study was conducted to investigate the effect of soil, cultural practices and climatic conditions on some chemical constituents of flue-cured tobacco. Increasing the nicotine and total nitrogen contents may be useful to reduce the total sugar content of cured leaves in flue-cured tobacco. Delaying the transplanting date and increasing the soil nitrogen($N0_3-N$ and $N0_4-N$) content for 30 days after transplanting by fertilizing are desirable so as to increase the nicotine and total nitrogen contents of cured leaves. Those treatments will delay the ripeness, and elongate the duration of cultivation(day from transplanting to harvesting), and increase the fresh leaf weight. Moderate rainfall in April and May, lower relative humidity in June, and higher mean daily air temperature in June and July seem to be necessary for good leaf of flue-cured tobacco in Korea.
정기택 한국전산구조공학회 1997 전산구조공학 Vol.10 No.1
본 논문에서는 기존의 gap 요소의 단점을 보완하여 간단하면서도 효율적인 접촉 알고리즘을 개발하였다. 다양한 수치 예제를 통하여, 제안된 접촉 알고리즘의 효율성 및 정확도를 검증하였다. 새로운 gap 요소는 일반적인 유한요소와 결합되어, 마찰이 포함되지 않은 삼차원 탄소성 접촉 문제의 해를 구하는데 이용될 수 있다. 개발된 접촉 알고리즘은 최적화기법을 도입하지 않고 시행착오기법에 기반을 두면서도 접촉문제에 대한 반복해의 수렴성 및 안정성을 보장한다. 또한 gap요소를 이용한 접촉 알고리즘은 코드화가 용이하므로, 기존의 복잡한 알고리즘에 대한 좋은 대안이 될 것이다.
정기택 한국전산구조공학회 2001 한국전산구조공학회논문집 Vol.14 No.2
iTOP(integrated-design Tool Of Plant)은 철골공장을 대상으로 한 모델링, 구조해석, 후처리, 부재설계, 구조계산서, 구조도면 및 물량산출에 이르는 일련의 과정을 유기적으로 통합한 시스템이다. 크레인 주행도를 주요 인터페이스 도구로 이용하고 \"크레인 하중조건\"이라는 개념을 새로이 도입함으로써, 각 크레인의 주행 범위 및 하중 옵션을 경우별로 설정할 수 있도록 하였다. 이에 따라 크레인거더의 설계 및 해석하중의 계산이 효과적으로 이루어지고, 제반 데이터에 따른 크레인 하중조합의 산정은 완전히 자동화되었다.
정기택,조수헌,복진영,박성원,이종률,Jeong, Kee-Taeg,Cho, Soo-Heon,Bock, Jin-Young,Park, Seong-Weon,Lee, Joung-Ryoul 한국연초학회 2007 한국연초학회지 Vol.29 No.2
This study was conducted to evaluate the prediction of sensory property of smoke from the leaf chemical property and characterize leaf chemical components for the best tobacco taste's leaves in burley tobacco. For analytical and sensory evaluations, sixteen grades were used. The major leaf chemical components to predict the sensory property of smoke were ether extract for tobacco-like, chloride for impact and total nitrogen/nicotine for irritation. Within ${\pm}20\;%$ range of difference, the predictable probabilities of sensory property of smoke from the leaf chemical properties were 100 % for tobacco-like, impact and irritation. As a result of K-means cluster analysis on the basis of tobacco taste, the desirable leaf chemical component contents were $6.5{\sim}6.8\;%$ in ether extract, $0.25{\sim}0.30\;%$ in chloride and $1.26{\sim}1.54$ in total nitrogen/nicotine ratio. This study suggest that the some regression equations may be useful to predict the sensory components of tobacco smoke from a few selected leaf chemical properties in burley tobacco and to select the burley tobacco leaves for enhance the tobacco taste of cigarette.
정기택,조수헌,김시몽,박성원,이철희,Jeong, Kee-Taeg,Cho, Soo-Heon,Kim, Si-Mong,Park, Seong-Weon,Lee, Chul-Hee 한국연초학회 2007 한국연초학회지 Vol.29 No.2
This study was conducted to evaluate the prediction of sensory characteristics of smoke from the leaf chemical compounds and characterize leaf chemical components for the best tobacco taste's leaves in oriental tobacco. For analytical and sensory evaluations, seventy two grades were used. Sensory evaluation of tobacco smoke for six attributes were scored on fifteen-point scale by $10{\sim}14$ expert panels trained to estimate smoking quality quantitatively. The major leaf chemical compounds to predict the sensory characteristics of smoke were ether extract for tobacco-like, nicotine for impact and total nitrogen/nicotine ratio for irritation, and total sugar for off taste & odor. Within ${\pm}20%$ range of difference, the predictable probabilities of sensory characteristics of smoke from the leaf chemical compounds were 87.5 % for off taste & odor and $94.4{\sim}98.6\;%$ for tobacco-like, impact and irritation. As a result of K-means cluster analysis on the basis of tobacco taste, the desirable leaf chemical compound contents were $5.9{\sim}8.3\;%$ in ether extract, $1.35{\sim}2.27\;%$ in nicotine and $1.17{\sim}2.24$ in total nitrogen/nicotine ratio. This study suggest that the some regression equations may be useful to predict the sensory characteristics of tobacco smoke with a few selected leaf chemical compounds in oriental tobacco and to select the oriental tobacco leaves by means of enhancing the tobacco taste of cigarette.